Publications
![[] Artificial Intelligence, Capability Systems, Cyber, Engineering, Mainboard, processor, Purchased, Science < Study, Space, Stock](/content/dam/images/canberra/unsw-canberra/general/research/2022-12-canberra-research/2023-02-iStock-92164609.cropimg.width=1920.crop=square.jpg "Red/orange circuit board")
As a group, we are extremely prolific in producing excellent quality research articles on our priority areas. We have been extremely active in communicating our research results through peer-reviewed scientific publications and conference presentations. More than 95% of our research articles are published in first-tier journals (Web of Science). We are also presenting our findings and insights through industry roundtables, conferences, workshops, and seminars, particularly in such forums that focus on supply chain and project risk management, and/or decision analytics. In addition, we endeavour to communicate our findings to the public using local and national online news and communication platforms such as LinkedIn and other social media. Members of the research team also share results through social media, blog posts and through the production of online content, where appropriate. Journal and conference articles written by the DSARG researchers are also available on the UNSW Canberra central research repository. You can search via keyword or researcher.
Our publications
For an updated publication list, please follow this link, opens in a new window.
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Journal articles
Asadujjaman M; Rahman MHF; Chakrabortty R; Ryan M, 2022, 'Multi-operator Immune Genetic Algorithm for Project Scheduling with Discounted Cash Flows', Expert Systems with Applications, vol. 195, http://dx.doi.org/10.1016/j.eswa.2022.116589, opens in a new window
Rahman MHF; Chakrabortty R; Ryan M, 2021, 'Scheduling project with stochastic durations and time-varying resource requests: A metaheuristic approach', Computers and Industrial Engineering, http://dx.doi.org/10.1016/j.cie.2021.107363, opens in a new window
Rahman MHF; Chakrabortty R; Ryan M, 2021, 'Managing Uncertainty and Disruptions in Resource Constrained Project Scheduling Problems: A real-time reactive approach', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2021.3063766, opens in a new window
Saad H; Chakrabortty R; Elsayed S; Ryan M, 2021, 'Quantum-Inspired Genetic Algorithm for Resource-Constrained Project-Scheduling', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2021.3062790, opens in a new window
Asadujjaman M; Rahman MHF; Chakrabortty R; Ryan M, 2021, 'An Immune Genetic Algorithm for Solving NPV-based Resource Constrained Project Scheduling Problem', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2021.3057366, opens in a new window
Chakrabortty R; Rahman MHF; Haque KMA; Paul SK; Ryan M, 2020, 'An Event-based Reactive Scheduling Approach for the Resource Constrained Project Scheduling Problem with Unreliable Resources', Computers and Industrial Engineering, http://dx.doi.org/10.1016/j.cie.2020.106981, opens in a new window
Jahangoshai Rezaee M; Yousefi S; Baghery M; Chakrabortty R, 2020, 'An intelligent strategy map to evaluate improvement projects of Auto industry using fuzzy cognitive map and fuzzy slack-based efficiency model', Computers and Industrial Engineering, http://dx.doi.org/10.1016/j.cie.2020.106920, opens in a new window
Sallam KM; Chakrabortty RK; Ryan MJ, 2020, 'A two-stage multi-operator differential evolution algorithm for solving Resource Constrained Project Scheduling problems', Future Generation Computer Systems, vol. 108, pp. 432 - 444, http://dx.doi.org/10.1016/j.future.2020.02.074, opens in a new window
Hammad M; Abbasi A; Chakrabortty RK; Ryan MJ, 2020, 'Predicting the critical path changes using sensitivity analysis: a delay analysis approach', International Journal of Managing Projects in Business, vol. 13, pp. 1097 - 1119, http://dx.doi.org/10.1108/IJMPB-07-2019-0184, opens in a new window
Chakrabortty RK; Rahman MHF; Ryan M, 2020, 'Efficient Priority Rules for Project Scheduling under dynamic environments: A Heuristic approach', Computers and Industrial Engineering, vol. 140, pp. 1 - 18, http://dx.doi.org/10.1016/j.cie.2020.106287, opens in a new window
Chakrabortty RK; Abbasi A; Ryan MJ, 2020, 'Multi-mode resource-constrained project scheduling using modified variable neighborhood search heuristic', International Transactions in Operational Research, vol. 27, pp. 138 - 167, http://dx.doi.org/10.1111/itor.12644, opens in a new window
Rahman MHF; Chakrabortty R; Ryan M, 2019, 'Memetic Algorithm for Solving Resource Constrained Project Scheduling Problems', Automation in Construction, vol. 111, pp. 1 - 18, http://dx.doi.org/10.1016/j.autcon.2019.103052, opens in a new window
Pakdaman M; Dokhtzaynal V; Abbasi A; Chakrabortty R, 2019, 'How an Enterprise Project Management Office (EPMO) can enhance organisational performance through the right members?', Project Governance and Controls Annual Review, vol. 2, pp. 1 - 11, https://www.pgcs.org.au/index.php/download_file/view/401/184/, opens in a new window
Chakrabortty RK; Abbasi A; Ryan MJ, 2019, 'A Risk Assessment Framework for Scheduling Projects With Resource and Duration Uncertainties', IEEE Transactions on Engineering Management, pp. 1 - 15, http://dx.doi.org/10.1109/TEM.2019.2943161, opens in a new window
Jahangoshai Rezaee M; Yousefi S; Chakrabortty RK, 2019, 'Analysing causal relationships between delay factors in construction projects', International Journal of Managing Projects in Business, vol. ahead-of-print, http://dx.doi.org/10.1108/ijmpb-01-2019-0020, opens in a new window
Chakrabortty RK; Sarker RA; Essam DL, 2018, 'Single mode resource constrained project scheduling with unreliable resources', Operational Research, pp. 1 - 35, http://dx.doi.org/10.1007/s12351-018-0380-7, opens in a new window
Chakrabortty RK; Sarker RA; Essam DL, 2017, 'Resource constrained project scheduling with uncertain activity durations', Computers and Industrial Engineering, vol. 112, pp. 537 - 550, http://dx.doi.org/10.1016/j.cie.2016.12.040, opens in a new window
Chakrabortty RK; Sarker RA; Essam DL, 2016, 'Multi-mode resource constrained project scheduling under resource disruptions', Computers and Chemical Engineering, vol. 88, pp. 13 - 29, http://dx.doi.org/10.1016/j.compchemeng.2016.01.004, opens in a new window
Chakrabortty RK; Hasin MAA; Sarker RA; Essam DL, 2015, 'A possibilistic environment based particle swarm optimization for aggregate production planning', Computers and Industrial Engineering, vol. 88, pp. 366 - 377, http://dx.doi.org/10.1016/j.cie.2015.07.021, opens in a new window
Chakrabortty RK; Sarker R; Essam D, 2014, 'Event Based Approaches for Solving Multi-mode Resource Constraints Project Scheduling Problem', Lecture Notes in Computer Science, vol. 8838, pp. 375 - 386, http://dx.doi.org/10.1007/978-3-662-45237-0_35, opens in a new window
Conference papers
Saad H; Chakrabortty R; Elsayed S, 2021, 'Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary study', IEEE, Krakow, Poland, presented at 2021 IEEE Congress on Evolutionary Computation, Krakow, Poland, 28 June 2021 - 01 July 2021, http://dx.doi.org/10.1109/CEC45853.2021.9504970, opens in a new window
Chakrabortty R; Ryan M, 2020, 'Robust Optimization Based Heuristic Approach for Solving Stochastic Multi-Mode Resource Constrained Project Scheduling Problem', in IEEE International Conference on Industrial Engineering and Engineering Management, IEEE, Singapore, pp. 1157 - 1161, presented at 2020 International Conference on Industrial Engineering and Engineering Management, Singapore, 14 December 2020 - 17 December 2020, http://dx.doi.org/10.1109/IEEM45057.2020.9309878, opens in a new window
Asadujjaman M; Rahman MHF; Chakrabortty R; Ryan M, 2020, 'An Immune Genetic Algorithm for Resource-Constrained Project Scheduling Problem with Discounted Cash Flows', in IEEE International Conference on Industrial Engineering and Engineering Management, IEEE, Singapore, pp. 1179 - 1183, presented at 2020 IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 14 December 2020 - 17 December 2020, http://dx.doi.org/10.1109/IEEM45057.2020.9309728, opens in a new window
Sallam K; Chakrabortty R; Ryan M, 2019, 'A Hybrid Differential Evolution with Cuckoo Search for Solving Resource Constrained Project Scheduling Problems', Macau, China, presented at IEEE International Conference on Industrial Engineering & Engineering Management (IEEM), Macau, China, 15 December 2019 - 18 December 2019, http://dx.doi.org/10.1109/IEEM44572.2019.8978856, opens in a new window
Chakrabortty R; Rahman MHF; Mo H; Ryan M, 2019, 'Digital Twin-based Cyber Physical System for Sustainable Project Scheduling with Degradation Identification', Macau, China, pp. 820 - 824, presented at IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Macau, China, 15 December 2019 - 18 December 2019, http://dx.doi.org/10.1109/IEEM44572.2019.8978712, opens in a new window
Chakrabortty RK; Rahman HF; Mo H; Ryan MJ, 2019, 'Digital Twin-based Cyber Physical System for Sustainable Project Scheduling', in IEEE International Conference on Industrial Engineering and Engineering Management, pp. 820 - 824, http://dx.doi.org/10.1109/IEEM44572.2019.8978712, opens in a new window
Pakdaman M; Dokhtzeynal V; Abbasi A; Chakrabortty RK, 2019, 'The Development of a Roadmap for Project Management Framework and Processes', in IEEE International Conference on Industrial Engineering and Engineering Management, pp. 810 - 814, http://dx.doi.org/10.1109/IEEM44572.2019.8978517, opens in a new window
Chakrabortty R; Abbasi A; Ryan M, 2019, 'A Modified Variable Neighbourhood Search Heuristic for the Multi-Mode Resource Constrained Project Scheduling Problem with A Case Study', in 29th Annual International INCOSE Symposium, Orlando, pp. 1124 - 1139, presented at 29th Annual International INCOSE Symposium, Orlando, 20 July 2019 - 25 July 2019, http://dx.doi.org/10.1002/j.2334-5837.2019.00657.x, opens in a new window
Chakrabortty R; Ryan M, 2019, 'An Uncertainty Tolerant Approach For Stochastic Resource Constrained Project Scheduling Problems', Atlanta, Georgia, USA, pp. 1 - 6, presented at 2019 IEEE Technology & Engineering Management Conference (TEMSCON), Atlanta, Georgia, USA, 11 June 2019 - 14 June 2019, http://dx.doi.org/10.1109/TEMSCON.2019.8813613, opens in a new window
Rahman MHF; Chakrabortty R; Ryan M, 2019, 'An Effective Memetic Algorithm for Resource Constrained Project Scheduling Problem', Wellington, New Zealand, pp. 2160 - 2166, presented at 2019 IEEE Congress on Evolutionary Computation (IEEE CEC), Wellington, New Zealand, 10 June 2019 - 13 June 2013, http://dx.doi.org/10.1109/CEC.2019.8790210, opens in a new window
Chakrabortty R; Abbasi A; Ryan M, 2018, 'Robust Project Scheduling With Unreliable Resources: A Variable Neighbourhood Search Based Heuristic Approach', in Proceeding of The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), IEEE, Bangkok, Thailand, pp. 656 - 660, presented at IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bangkok, Thailand, 16 December 2018 - 19 December 2018, http://dx.doi.org/10.1109/IEEM.2018.8607628, opens in a new window
Chakrabortty R; Abbasi A; Ryan M, 2018, 'Reactive Scheduling of Projects with Unreliable Resources', in Proceedings to the 48th International Conference on Computers and Industrial Engineering (CIE48), Auckland, New Zealand, presented at 48th International Conference on Computers and Industrial Engineering (CIE48), Auckland, New Zealand, 02 December 2018 - 05 December 2018
Chakrabortty R; Abbasi A; Ryan M, 2018, 'Handling Uncertainties and Preparing for the Unexpected in Real-life Project Scheduling', in Project and Program Management Symposium, Canberra, Australia, presented at Project and Program Management Symposium, Canberra, Australia, 14 August 2018 - 16 August 2018
Chakrabortty R; Sarker R; Essam D, 2015, 'Resource constrained project scheduling: A branch and cut approach', in Proceedings - CIE 45: 2015 International Conference on Computers and Industrial Engineering, Metz, France, presented at International Conference on Computers and Industrial Engineering, Metz, France, 08 November 2015 - 11 November 2015
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Journal articles
Rahman MHF; Chakrabortty R; El Sawah S; Ryan M, 2021, 'Energy-Efficient Project Scheduling with Supplier Selection in Manufacturing Projects', Expert Systems with Applications, http://dx.doi.org/10.1016/j.eswa.2021.116446, opens in a new window
Asadujjaman M; Rahman MHF; Chakrabortty RK; Ryan M, 2021, 'Resource Constrained Project Scheduling and Material Ordering Problem with Discounted Cash Flows', Computers and Industrial Engineering, http://dx.doi.org/10.1016/j.cie.2021.107427, opens in a new window
Mahmud S; Chakrabortty RK; Abbasi A; Ryan MJ, 2022, 'Swarm intelligent based metaheuristics for a bi-objective flexible job shop integrated supply chain scheduling problems', Applied Soft Computing, pp. 108794 - 108794, http://dx.doi.org/10.1016/j.asoc.2022.108794, opens in a new window
Mahmud S; Chakrabortty RK; Abbasi A; Ryan MJ, 2022, 'Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems', Journal of Intelligent Manufacturing, http://dx.doi.org/10.1007/s10845-022-01940-1, opens in a new window
Mahmud S; Abbasi A; Chakrabortty R; Ryan M, 2021, 'Multi-operator communication based Differential Evolution with Sequential Tabu Search Approach for Job Shop Scheduling Problems', Applied Soft Computing, vol. 108, http://dx.doi.org/10.1016/j.asoc.2021.107470, opens in a new window
Hossain MS; Chakrabortty R; El Sawah S; Ryan M, 2021, 'Sustainable Modular Product Architecture Design by Bi-level Leader-Follower Joint Optimization with Switching-based Meta-heuristic Algorithms', Journal of Cleaner Production, vol. 306, http://dx.doi.org/10.1016/j.jclepro.2021.127108, opens in a new window
El-Shafeiy E; Sallam K; Chakrabortty R; Abohany AA, 2021, 'A Clustering based Swarm Intelligence Optimization Technique for the Internet of Medical Things', Expert Systems with Applications, vol. 173, http://dx.doi.org/10.1016/j.eswa.2021.114648, opens in a new window
Ali I; Sallam K; Moustafa N; Chakrabortty R; Ryan M; Choo K-KR, 2020, 'An Automated Task Scheduling Model using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems', IEEE Transactions on Cloud Computing, http://dx.doi.org/10.1109/TCC.2020.3032386, opens in a new window
Conference papers
Asadujjaman M; Rahman MHF; Chakrabortty RK; Michael JR, 2021, 'A Memetic Algorithm for Concurrent Project Scheduling, Materials Ordering and Suppliers Selection Problem', in Procedia Computer Science, Elsevier, Poland, presented at 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Poland, 08 September 2021 - 10 September 2021
Rahman MH; Chakrabortty R; Ryan M, 2019, 'An Optimised Supplier Selection Plan for Supply Chain Integrated Project Scheduling Problem', Atlanta, Georgia, USA, pp. 1 - 6, presented at 2019 IEEE Technology & Engineering Management Conference (TEMSCON), Atlanta, Georgia, USA, 11 June 2019 - 14 June 2019, http://dx.doi.org/10.1109/TEMSCON.2019.8813610, opens in a new window
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Journal articles
Paul SK; Chowdhury P; Chakrabortty RK; Ivanov D; Sallam K, 2022, 'A mathematical model for managing the multi-dimensional impacts of the COVID-19 pandemic in supply chain of a high-demand item', Annals of Operations Research, http://dx.doi.org/10.1007/s10479-022-04650-2, opens in a new window
Mondal R; Shaikh AA; Bhunia AK; Hezam IM; Chakrabortty RK, 2022, 'Impact of trapezoidal demand and deteriorating preventing technology in an inventory model in interval uncertainty under backlogging situation', Mathematics, vol. 10, pp. 78 - 78, http://dx.doi.org/10.3390/math10010078, opens in a new window
Jaigirdar SM; Das S; Chowdhury AR; Ahmed S; Chakrabortty RK, 2022, 'Multi-objective multi-echelon distribution planning for perishable goods supply chain: a case study', International Journal of Systems Science: Operations and Logistics, pp. 1 - 19, http://dx.doi.org/10.1080/23302674.2021.2020367, opens in a new window
Raian S; Ali SM; Sarker MR; Sankaranarayanan B; Kabir G; Paul SK; Chakrabortty R, 2021, 'Assessing sustainability risks in the supply chain of the textile industry under uncertainty', Resources, Conservation and Recycling, vol. 177, http://dx.doi.org/10.1016/j.resconrec.2021.105975, opens in a new window
Nimmy SF; Hussain OK; Chakrabortty R; Hussain FK; Saberi M, 2021, 'Explainability in Supply Chain Operational Risk Management: A Systematic Literature Review', Knowledge-Based Systems, http://dx.doi.org/10.1016/j.knosys.2021.107587, opens in a new window
Paul S; Moktadir MA; Sallam K; Choi T-M; Chakrabortty R, 2021, 'A Recovery Planning Model for Online Business Operations under the COVID-19 Outbreak', International Journal of Production Research, http://dx.doi.org/10.1080/00207543.2021.1976431, opens in a new window
Paul SK; Chowdhury P; Chowdhury MT; Chakrabortty R; Moktadir MA, 2021, 'Operational challenges during a pandemic: an investigation in the electronics industry', The International Journal of Logistics Management, http://dx.doi.org/10.1108/IJLM-05-2021-0307, opens in a new window
Udukumburage SKD; Paul A; Hasan KW; Paul S; Ali SM; Chakrabortty R, 2021, 'Examining risks and strategies for the spice processing supply chain in the context of an emerging economy', International Journal of Emerging Markets, http://dx.doi.org/10.1108/IJOEM-07-2020-0776, opens in a new window
Md Mashud AH; Roy D; Daryanto Y; Chakrabortty R; Tseng M-L, 2021, 'A sustainable inventory model with controllable carbon emissions, deterioration and advance payments', Journal of Cleaner Production, http://dx.doi.org/10.1016/j.jclepro.2021.126608, opens in a new window
Paul SK; Chowdhury P; Chowdhury MT; Chakrabortty RK; Moktadir MA, 2021, 'Operational challenges during a pandemic: an investigation in the electronics industry', International Journal of Logistics Management, http://dx.doi.org/10.1108/IJLM-05-2021-0307, opens in a new window
Sarfaraz A; Chakrabortty R; Essam D, 2020, 'A Tree Structure-based Improved Blockchain Framework for a Secure Online Bidding System', Computers and Security, vol. 102, http://dx.doi.org/10.1016/j.cose.2020.102147, opens in a new window
Conference Papers
Chakrabortty R; Hossain MM; Kadir JMA, 2013, 'Fuzzy based Ergonomic analysis on Work Related Musculoskeletal disorders (WMSDS)', in Proceedings of the International Conference on Engineering Research, Innovation and Education 2013 (ICERIE 2013), Sylhet, Bangladesh, presented at Proceedings of the International Conference on Engineering Research, Innovation and Education 2013 (ICERIE 2013), Sylhet, Bangladesh, 11 January 2013 - 13 January 2013
Chakrabortty R; Hossain MM; Hossain MS, 2013, 'Justifying feasibility of different forecasting techniques & error measurements', in Proceedings of the International Conference on Engineering Research, Innovation and Education 2013 (ICERIE 2013), Sylhet, Bangladesh, presented at Proceedings of the International Conference on Engineering Research, Innovation and Education 2013 (ICERIE 2013), Sylhet, Bangladesh, 11 January 2013 - 13 January 2013
Chakrabortty R; Hossain MM; Islam MA; Roy DK, 2012, 'Justification of Process Capabilities on Some Quality Parameters: A Case Study in Bangladesh', in International Proceedings of Global Engineering, Science and Technology Conference, Dhaka, Bangladesh, presented at International Proceedings of Global Engineering, Science and Technology Conference, Dhaka, Bangladesh, 28 December 2012 - 29 December 2012
Chakrabortty R; Hossain MM; Rahman MM; Hossain MS, 2012, 'Implication of preventive maintenance and replacement scheduling for maintainable systems', in the 6th International Mechanical Engineering Conference & 14th Annual Paper Meet (6IMEC & 14APM), Dhaka, Bangladesh, presented at the 6th International Mechanical Engineering Conference & 14th Annual Paper Meet (6IMEC & 14APM), Dhaka, Bangladesh, 28 September 2012 - 29 September 2012
Chakrabortty R; Hossain MM; Billal MM; Sarker SC; Sozal SK, 2012, 'Justification of different heuristic algorithms for scheduling of multiple jobs', in 6th International Mechanical Engineering Conference & 14th Annual Paper Meet, Dhaka, Bangladesh, presented at 6th International Mechanical Engineering Conference & 14th Annual Paper Meet, Dhaka, Bangladesh, 28 September 2012 - 29 September 2012
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Journal articles
Biswas TK; Abbasi A; Chakrabortty RK, 2022, 'A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks', Expert Systems with Applications, vol. 192, pp. 116342 - 116342, http://dx.doi.org/10.1016/j.eswa.2021.116342, opens in a new window
Biswas T; Abbasi A; Chakrabortty R, 2020, 'An MCDM Integrated Adaptive Simulated Annealing Approach for Influence Maximization in Social Networks', Information Sciences, http://dx.doi.org/10.1016/j.ins.2020.12.048, opens in a new window
Abdel-Basset M; Gamal A; Chakrabortty R; Ryan M; El-Saber N, 2021, 'A Comprehensive Framework for Evaluating Sustainable Green Building Indicators under Uncertain Environment', Sustainability, vol. 13, http://dx.doi.org/10.3390/su13116243, opens in a new window
Abdel-Basset M; Gamal A; Elhoseny M; Chakrabortty R; Ryan M, 2021, 'A Conceptual Hybrid Approach from A Multicriteria Perspective for Sustainable Third-Party Reverse Logistics Provider Identification', Sustainability, vol. 13, http://dx.doi.org/10.3390/su13094615, opens in a new window
Abdel-Basset M; Gamal A; Chakrabortty R; Ryan M, 2021, 'Development of a Hybrid Multi-Criteria Decision-making Approach for Sustainability Evaluation of Bioenergy Production Technologies: A Case Study', Journal of Cleaner Production, http://dx.doi.org/10.1016/j.jclepro.2021.125805, opens in a new window
Abdel-Basset M; Gamal A; Chakrabortty R; Ryan M, 2021, 'Evaluation Approach for Sustainable Renewable Energy Systems Under Uncertain Environments: A Case Study', Renewable Energy, vol. 168, pp. 1073 - 1095, http://dx.doi.org/10.1016/j.renene.2020.12.124, opens in a new window
Abdel-Basset M; Gamal A; Chakrabortty R; Ryan M, 2020, 'Evaluation of Sustainable Hydrogen Production Options Using an Advanced Hybrid MCDM Approach: A Case Study', International Journal of Hydrogen Energy, http://dx.doi.org/10.1016/j.ijhydene.2020.10.232, opens in a new window
Hossain MA; Chakrabortty RK; Ryan M; Pota HR, 2020, 'Energy Management of Community Microgrids Considering Uncertainty using Particle Swarm Optimisation', , http://dx.doi.org/10.20944/preprints202006.0205.v1, opens in a new window
Abdel-Basset M; Gamal A; Chakrabortty RK; Ryan M, 2020, 'A New Hybrid Multi-Criteria Decision-Making Approach for Location Selection of Sustainable Offshore Wind Energy Stations: A Case Study', Journal of Cleaner Production, pp. 124462 - 124462, http://dx.doi.org/10.1016/j.jclepro.2020.124462, opens in a new window
Mathew M; Chakrabortty RK; Ryan M, 2020, 'A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection', Engineering Applications of Artificial Intelligence, vol. 96, pp. 103988 - 103988, http://dx.doi.org/10.1016/j.engappai.2020.103988, opens in a new window
Mathew M; Chakrabortty RK; Ryan MJ, 2020, 'Selection of an Optimal Maintenance Strategy Under Uncertain Conditions: An Interval Type-2 Fuzzy AHP-TOPSIS Method', IEEE Transactions on Engineering Management, pp. 1 - 14, http://dx.doi.org/10.1109/tem.2020.2977141, opens in a new window
Chakrabortty R; Hossain MM; Azad MFH; Islam MJ, 2013, 'Analysing the Effects of Sales Promotion and Advertising on Consumer’s Purchase Behaviour', World Journal of Social Sciences, vol. 3, pp. 183 - 194
Chakrabortty R; Biswas TK; Ahmed I, 2013, 'Reducing Process Variability by Using DMAIC Model: A Case Study in Bangladesh', International Journal for Quality Research
Conference papers
Biswas T; Abbasi A; Chakrabortty R, 2020, 'A Hybrid Community-based Simulated Annealing Approach for Influence Maximization in Social Networks', in IEEE International Conference on Industrial Engineering and Engineering Management, IEEE, Singapore, pp. 1184 - 1188, presented at IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 14 December 2020 - 17 December 2020, http://dx.doi.org/10.1109/IEEM45057.2020.9309848, opens in a new window
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Journal articles
Abdel-Basset M; Mohamed R; El-Fergany A; Chakrabortty R; Ryan M, 2021, 'Adaptive and Efficient optimization model for optimal parameters of proton exchange membrane fuel cells: A comprehensive analysis', Energy, vol. 233, http://dx.doi.org/10.1016/j.energy.2021.121096, opens in a new window
Mousavirad SJ; Oliva D; Chakrabortty RK; Zabihzadeh D; Hinojosa S, 2022, 'Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation', Knowledge-Based Systems, vol. 245, pp. 108610 - 108610, http://dx.doi.org/10.1016/j.knosys.2022.108610, opens in a new window
Biswas S; Ali I; Chakrabortty RK; Turan HH; Elsawah S; Ryan MJ, 2022, 'Dynamic modeling for product family evolution combined with artificial neural network based forecasting model: A study of iPhone evolution', Technological Forecasting and Social Change, vol. 178, pp. 121549 - 121549, http://dx.doi.org/10.1016/j.techfore.2022.121549, opens in a new window
El-Dahshan E-SA; Bassiouni MM; Hagag A; Chakrabortty RK; Loh H; Acharya RU, 2022, 'RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images', Expert Systems with Applications, pp. 117410 - 117410, http://dx.doi.org/10.1016/j.eswa.2022.117410, opens in a new window
Gad A; Sallam K; Chakrabortty R; Ryan M; Abohany AA, 2022, 'An improved binary sparrow search algorithm for feature selection in data classification', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-022-07203-7, opens in a new window
Sorour SE; Abdelkader HE; Sallam KM; Chakrabortty RK; Ryan MJ; Abohany A, 2022, 'An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks', Journal of King Saud University - Computer and Information Sciences, http://dx.doi.org/10.1016/j.jksuci.2022.01.013, opens in a new window
Sharma A; Sharma A; Malhotra R; Singh P; Chakrabortty RK; Mahajan S; Pandit AK, 2021, 'An accurate artificial intelligence system for the detection of pulmonary and extra pulmonary Tuberculosis', Tuberculosis, vol. 131, pp. 102143 - 2143, http://dx.doi.org/10.1016/j.tube.2021.102143, opens in a new window
Adil M; Ansari MF; Alahmadi A; Wu JZ; Chakrabortty RK, 2021, 'Solving the problem of class imbalance in the prediction of hotel cancelations: A hybridized machine learning approach', Processes, vol. 9, pp. 1713 - 1713, http://dx.doi.org/10.3390/pr9101713, opens in a new window
Adil M; Wu J-Z; Chakrabortty R; Alahmadi A; Ansari MF; Ryan M, 2021, 'Attention-Based STL-BiLSTM Network to Forecast Tourist Arrival', Processes, vol. 9, http://dx.doi.org/10.3390/pr9101759, opens in a new window
Iqbal S; Mohammad S; Ayyub M; Tariq M; Chakrabortty R; Ryan M; Alamri B, 2021, 'A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment', Sustainability, vol. 13, http://dx.doi.org/10.3390/su13137170
Abdel-Basset M; Chang V; Hawash H; Chakrabortty R; Ryan M, 2021, 'Deep Learning Approaches for Human-Centered IoT Applications in Smart Indoor Environments: A Contemporary Survey', Annals of Operations Research, vol. 108, http://dx.doi.org/10.1007/s10479-021-04164-3
Shahid H; Islam SU; Chakrabortty R; Ryan M; Saha DK; Ahamed MH; Moyeen SI; Das SK; Ali MF; Islam MR; Tasneem Z; Badal F, 2021, 'A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management', IEEE Access, pp. 86166 - 86193, http://dx.doi.org/10.1109/ACCESS.2021.3089032
Hossain MA; Chakrabortty R; El Sawah S; Evan MacA G; Ryan M, 2021, 'Predicting Wind Power Generation using Hybrid Deep Learning with Optimization', IEEE Transactions on Applied Superconductivity, vol. 31, http://dx.doi.org/10.1109/TASC.2021.3091116
Suresh K; Chellammal N; Bharatiraja C; Tariq M; Chakrabortty R; Ryan M; Alamri B, 2021, 'A Multifunctional Non-Isolated Dual Input-Dual Output Converter for Electric Vehicle Applications', IEEE Access, pp. 64445 - 64460, http://dx.doi.org/10.1109/ACCESS.2021.3074581
Ali M; Tariq M; Chakrabortty R; Ryan M; Alamri B; Bou-Rabee M, 2021, '11-Level Operation with Voltage-Balance Control of WE-type Inverter using Conventional and DE-SHE Techniques', IEEE Access, vol. 9, http://dx.doi.org/10.1109/ACCESS.2021.3072905
Abdel-Basset M; Hawash H; Chakrabortty R; Ryan M, 2021, 'PV-Net: An Innovative Deep Learning approach for Efficient Forecasting of Short-term Photovoltaic Energy Production', Journal of Cleaner Production, vol. 303, http://dx.doi.org/10.1016/j.jclepro.2021.127037
Asif N; Sarker Y; Chakrabortty R; Ryan M; Ahamed MH; Saha DK; Badal FR; Das SK; Ali MF; Moyeen SI; Islam MR; Tasneem Z, 2021, 'Graph Neural Network: A Comprehensive Review on Non-Euclidean Space', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2021.3071274
Lodi KA; Ali M; Tariq M; Chakrabortty R; Ryan M; Bharatiraja C, 2021, 'Robust ANN Based Control of Modified PUC-5 Inverter for Solar PV Applications', IEEE Transactions on Industry Applications, http://dx.doi.org/10.1109/TIA.2021.3076032
Abdel-Basset M; Mohamed R; Chakrabortty R; Ryan M; Nam Y; Abouhawwash M, 2021, 'Medical Feature Selection Approach Based on Generalized Normal Distribution Algorithm', CMC-Computers Materials & Continua, vol. 69, pp. 2883 - 2901, http://dx.doi.org/10.32604/cmc.2021.017854
Abdel-Basset M; Hawash H; Chakrabortty R; Ryan M, 2021, 'Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-based Smart Cities', IEEE Internet of Things Journal, http://dx.doi.org/10.1109/JIOT.2021.3063677
Ferdaus MM; Chakrabortty R; Ryan M, 2021, 'Multi-objective Automated Type-2 Parsimonious Learning Machine to Forecast Time-varying Stock Indices Online', IEEE Transactions on Systems, Man, and Cybernetics: Systems, http://dx.doi.org/10.1109/TSMC.2021.3061389
Hossain MA; Chakrabortty R; El Sawah SA; Ryan M, 2021, 'Very Short-term Forecasting of Wind Power Generation using Hybrid Deep Learning Model', Journal of Cleaner Production, http://dx.doi.org/10.1016/j.jclepro.2021.126564
A.K N; Shama A; Chakrabortty R; Ryan M; Badal F; Z. T; Ahamed MH; Sumaya Ishrat M; Das S; Ali MF; Islam MR; Saha DK, 2021, 'Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2021.3062557
Abdel-Basset M; Hawash H; Chakrabortty R; Ryan M, 2021, 'Semi-supervised Spatio-Temporal Deep Learning for Intrusions Detection in IoT Networks', IEEE Internet of Things Journal, http://dx.doi.org/10.1109/JIOT.2021.3060878
Ferdaus M; Zaman F; Chakrabortty R, 2021, 'Performance Improvement of a Parsimonious Learning Machine Using Meta-heuristic Approaches', IEEE Transactions on Cybernetics, pp. 1 - 14, http://dx.doi.org/10.1109/TCYB.2021.3051242
Haque TS; Rahman MH; Islam MR; Razzak MA; Badal FR; Ahamed MH; Moyeen SI; Das SK; Ali MF; Tasneem Z; Saha DK; Chakrabortty RK; Ryan M, 2021, 'A Review on Driving Control Issues for Smart Electric Vehicles', IEEE Access, vol. 9, pp. 135440 - 135472, http://dx.doi.org/10.1109/ACCESS.2021.3116353
Husnoo MA; Anwar A; Chakrabortty RK; Doss R; Ryan MJ, 2021, 'Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey', IEEE Access, vol. 9, pp. 153276 - 153304, http://dx.doi.org/10.1109/ACCESS.2021.3124309
Hossain MA; Chakrabortty R; Ryan M; Pota H, 2020, 'Energy Management of Community Energy Storage in Grid-connected Microgrid under Uncertain Real-time Prices', Sustainable Cities and Society, http://dx.doi.org/10.1016/j.scs.2020.102658
Sallam K; Chakrabortty R; Ryan M, 2020, 'A Reinforcement Learning Based Multi-Method Approach for Stochastic Resource Constrained Project Scheduling Problems', Expert Systems with Applications, vol. 169, http://dx.doi.org/10.1016/j.eswa.2020.114479
Abdel-Basset M; Chang V; Hawash H; Chakrabortty R; Ryan M, 2020, 'FSS-2019-nCov: A Deep Learning Architecture for Semi-supervised Few-Shot Segmentation of COVID-19 Infection', Knowledge-Based Systems, vol. 212, http://dx.doi.org/10.1016/j.knosys.2020.106647
Abdel-Basset M; Hossam H; Chang V; Chakrabortty R; Ryan M, 2020, 'Deep learning for Heterogeneous Human Activity Recognition in Complex IoT Applications', IEEE Internet of Things Journal, http://dx.doi.org/10.1109/JIOT.2020.3038416
Tayyab M; Sarwar A; Tariq M; Chakrabortty R; Ryan M, 2020, 'Hardware-In-the-Loop Implementation of projectile target search algorithm for selective harmonic elimination in a 3-phase multilevel converter', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2020.3037126
Ahmed J; Pervez I; Sarwar A; Tariq M; Mohammad F; Chakrabortty R; Ryan M, 2020, 'Performance Analysis and Hardware in Loop Validation of Single Switch High Voltage Gain DC-DC Converter for MPP Tracking in Solar PV System', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2020.3034310
Sallam K; Elsayed S; Chakrabortty R; Ryan M, 2020, 'Evolutionary Framework with Reinforcement Learning-based Mutation Adaptation', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2020.3033593
Abdel-Basset M; Hawash H; Chakrabortty R; Ryan M; Elhoseny M; Houbing S, 2020, 'ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications', IEEE Internet of Things, http://dx.doi.org/10.1109/JIOT.2020.3033430
Abdel-Basset M; Hawash H; Elhoseney M; Chakrabortty R; Ryan M, 2020, 'DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2020.3024238
Abdel-Basset M; Chang V; Hawash H; Chakrabortty RK; Ryan M, 2020, 'Deep-IFS: Intrusion Detection Approach for IIoT Traffic in Fog Environment', IEEE Transactions on Industrial Informatics, pp. 1 - 1, http://dx.doi.org/10.1109/tii.2020.3025755
Pervez I; Sarwar A; Alam A; Tariq M; Chakrabortty R; Ryan M, 2022, 'An MPPT method using hybrid Radial Movement Optimization with teaching-learning based optimization under Fluctuating Atmospheric Conditions', Journal of Intelligent and Fuzzy Systems, pp. 1 - 10, http://dx.doi.org/10.3233/JIFS-189750
Anees MA; Lodi KA; Tariq M; Alam M; Chakrabortty R; Ryan M, 2022, 'Reactive power compensation for grid by Packed-U-Cell inverter using Model Predictive Control Strategy with intelligent Multi-objective scheme', Journal of Intelligent and Fuzzy Systems, pp. 1 - 14, http://dx.doi.org/10.3233/JIFS-189749
Samir AA; Rashwan AR; Sallam K; Chakrabortty R; Ryan M; Abohany AA, 2021, 'Evolutionary Algorithm-based Convolutional Neural Network for Predicting Heart Diseases', Computers and Industrial Engineering, vol. 161, http://dx.doi.org/10.1016/j.cie.2021.107651
Ali M; Tariq M; Lin C-H; Chakrabortty R; Alamri B; Alahmadi A; Ryan M, 2021, 'Operation of a UXE-Type 11-Level Inverter with Voltage-Balance Modulation using NLC and ACO-based SHE', Sustainability, vol. 13, http://dx.doi.org/10.3390/su13169035
Abdel-Basset M; Mohamed R; Sallam KM; Chakrabortty R; Ryan M, 2021, 'BSMA: A novel metaheuristic algorithm for Multi-dimensional knapsack problems: Method and comprehensive analysis', Computers and Industrial Engineering, http://dx.doi.org/10.1016/j.cie.2021.107469
Khan SA; Upadhyay D; Ali M; Tariq M; Sarwar A; Chakrabortty R; Ryan M; Alamri B, 2021, 'M-type and CD-type carrier based PWM Methods and Bat Algorithm-based SHE and SHM for Compact Nine-Level Switched Capacitor Inverter', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2021.3087825
Ishraque M; Shezan SA; Rashid MM; Bhadra AB; Hossain MA; Chakrabortty R; Ryan M; Fahim SR; Sarker SK; Das SK, 2021, 'Techno-Economic and Power System Optimization of a Renewable Rich Islanded Microgrid considering different Dispatch Strategies', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2021.3082538
Abdel-Basset M; Mohamed R; Chakrabortty R; Ryan M, 2021, 'IEGA: An improved elitism-based genetic algorithm for task scheduling problem in Fog computing', International Journal of Intelligent Systems, http://dx.doi.org/10.1002/int.22470
Sallam K; Hossain MA; Chakrabortty R; Ryan M, 2021, 'An Improved Gaining-Sharing Knowledge Algorithm for Parameter Extraction of Photovoltaic Models', Energy Conversion and Management, vol. 237, http://dx.doi.org/10.1016/j.enconman.2021.114030
Mohamed A-B; Mohamed R; El-Fergany A; Chakrabortty R; Ryan M, 2021, 'An improved Artificial Jellyfish Search optimizer for parameter identification of photovoltaic models', Energies, vol. 14, http://dx.doi.org/10.3390/en14071867
Mohamed A-B; Mohamed R; Mirjalili S; Chakrabortty R; Ryan M, 2021, 'An efficient Marine Predators Algorithm for Solving Multi-objective Optimization Problems: Analysis and Validations', IEEE Access, pp. 42817 - 42844, http://dx.doi.org/10.1109/ACCESS.2021.3066323
Abdel-Basset M; Mohamed R; Abouhawwash M; Chakrabortty R; Ryan M; Nam Y, 2021, 'An Improved Jellyfish Algorithm for Multilevel Thresholding of Magnetic Resonance Brain Image Segmentations', CMC-Computers Materials & Continua, vol. 68, pp. 2961 - 2977, http://dx.doi.org/10.32604/cmc.2021.016956
Abdel-Basset M; Mohamed R; Abouhawwash M; Chakrabortty R; Ryan M, 2021, 'EA-MSCA: an effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and Analysis', Expert Systems with Applications, vol. 173, http://dx.doi.org/10.1016/j.eswa.2021.114699
Abdel-Basset M; Mohamed R; Abouhawwash M; Chakrabortty R; Ryan M, 2021, 'A Simple and Effective Approach for Tackling the Permutation Flow Shop Scheduling Problem', Mathematics, vol. 270, http://dx.doi.org/10.3390/math9030270
Abdel-Basset M; Mohamed R; Elhoseny M; Chakrabortty R; Ryan M, 2021, 'An efficient heap-based optimization algorithm for parameters identification of proton exchange membrane fuel cells model: Analysis and case studies', International Journal of Hydrogen Energy, https://doi.org/10.1016/j.ijhydene.2021.01.076
Abdel-Basset M; Mohamed R; Chakrabortty R; Ryan M; Mirjalili S, 2021, 'An efficient Binary Slime Mould Algorithm Integrated with a Novel Attacking-Feeding Strategy for Feature Selection', Computers and Industrial Engineering, vol. 153, http://dx.doi.org/10.1016/j.cie.2020.107078
Upadhyay D; Khan SA; Ali M; Tariq M; Sarwar A; Chakrabortty RK; Ryan MJ, 2021, 'Experimental validation of metaheuristic and conventional modulation, and hysteresis control of the dual boost nine-level inverter', Electronics (Switzerland), vol. 10, pp. 1 - 16, http://dx.doi.org/10.3390/electronics10020207
Abdel-Basset M; Mohamed R; Mirjalili S; Chakrabortty R; Ryan M, 2020, 'MOEO-EED: A Multi-Objective Equilibrium Optimizer with Exploration- Exploitation Dominance Strategy', Knowledge-Based Systems, http://dx.doi.org/10.1016/j.knosys.2020.106717
Mohamed A-B; Mohamed R; Sallam K; Chakrabortty R; Ryan M, 2020, 'An efficient-assembler whale optimization algorithm for DNA fragment assembly problem: analysis and validations', IEEE Access, pp. 1 - 24, http://dx.doi.org/10.1109/ACCESS.2020.3044857
Abdel-Basset M; Mohamed R; Chakrabortty R; Sallam K; Ryan M, 2020, 'An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations', Energy Conversion and Management, vol. 227, http://dx.doi.org/10.1016/j.enconman.2020.113614
Abdel-Basset M; Mohamed R; Chakrabortty R; Ryan M; Mirjalili S, 2020, 'New Binary Marine Predators Optimization Algorithm for 0-1 Knapsack Problems', Computers and Industrial Engineering, http://dx.doi.org/10.1016/j.cie.2020.106949
Abdel-Basset M; El-Shahat D; Chakrabortty R; Ryan M, 2020, 'Parameter Estimation of Photovoltaic Models Using an Improved Marine Predators Algorithm', Energy Conversion and Management, vol. 227, http://dx.doi.org/10.1016/j.enconman.2020.113491
Abdel-Basset M; Mohamed R; Elhoseny M; Chakrabortty RK; Ryan M, 2020, 'A hybrid COVID-19 detection model using an improved marine predators algorithm and a ranking-based diversity reduction strategy', IEEE Access, pp. 1 - 1, http://dx.doi.org/10.1109/access.2020.2990893
Lodi KA; Ali M; Tariq M; Meraj M; Iqbal A; Chakrabortty RK; Ryan MJ, 2020, 'Modulation with Metaheuristic Approach for Cascaded-MPUC49 Asymmetrical Inverter with Boosted Output', IEEE Access, pp. 1 - 12, http://dx.doi.org/10.1109/access.2020.2995782
Pervez I; Pervez A; Tariq M; Sarwar A; Chakrabortty RK; Ryan M, 2020, 'Rapid and Robust Adaptive Jaya (Ajaya) based Maximum Power Point Tracking of a PV-based Generation System', IEEE Access, pp. 1 - 1, http://dx.doi.org/10.1109/access.2020.3028609
Abdel-Basset M; Mohamed R; Mirjalili S; Chakrabortty RK; Ryan M, 2020, 'Solar photovoltaic parameter estimation using an improved equilibrium optimizer', Solar Energy, vol. 209, pp. 694 - 708, http://dx.doi.org/10.1016/j.solener.2020.09.032
Chakrabortty RK; Asadujjaman M; Nuruzzaman M, 2014, 'Fuzzy and AHP approaches for designing a hospital bed: A case study in Bangladesh', International Journal of Industrial and Systems Engineering, vol. 17, pp. 315 - 328, http://dx.doi.org/10.1504/IJISE.2014.062541
Chakrabortty RK; Hasin MAA, 2013, 'Solving an Aggregate Production Planning Problem by Fuzzy Based Genetic Algorithm (FBGA) Approach', International Journal of Fuzzy Logic Systems, vol. 3, pp. 1 - 16, https://wireilla.com/papers/ijfls/V3N1/3113ijfls01.pdf
Chakrabortty RK; Akhtar Hasin MA, 2013, 'Solving an aggregate production planning problem by using multi-objective genetic algorithm (MOGA) approach', International Journal of Industrial Engineering Computations, vol. 4, pp. 1 - 12, http://dx.doi.org/10.5267/j.ijiec.2012.09.003
Conference papers
Hossain MA; Gray EMA; Islam MR; Chakrabortty RK; Pota HR, 2021, 'Forecasting very short-term wind power generation using deep learning, optimization and data decomposition techniques', in ICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems, IEEE, pp. 323 - 327, presented at 2021 24th International Conference on Electrical Machines and Systems (ICEMS), 31 October 2021 - 03 November. 2021, http://dx.doi.org/10.23919/ICEMS52562.2021.9634361
Hossain MA; Chakrabortty R; El Sawah S; Ryan M, 2020, 'Hybrid Deep Learning Model for Ultra-short-term Wind Power Forecasting', in IEEE 2020 International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD2020), IEEE, China, pp. 1 - 12, presented at IEEE 2020 International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD2020), China, 16 October 2020 - 18 October 2020, http://dx.doi.org/10.1109/ASEMD49065.2020.9276090
Mousavirad SJ; Moghadam MH; Saadatmand M; Chakrabortty R; Schaefer G; Oliva D, 2022, 'RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation', in 25th International Conference, EvoApplications 2022, Seville, Spain, presented at EvoApplications Conference Proceedings, Seville, Spain, 20 April 2022 - 22 April 2022, http://dx.doi.org/10.1007/978-3-031-02462-7_17
Ali I; Turan H; Chakrabortty R; El Sawah S; Ryan M, 2021, 'An Integrated Differential Evolution-based Heuristic Approach for Product Family Design Problem', IEEE, Krakow, Poland, presented at 2021 IEEE Congress on Evolutionary Computation (CEC), Krakow, Poland, 28 June 2021 - 01 July 2021
Sallam K; Turan H; Chakrabortty R; El Sawah S; Ryan M, 2020, 'A Differential Evolution Algorithm for Military Workforce Planning Problems: A Simulation-Optimization Approach', in IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE, IEEE, Canberra, Australia, pp. 2504 - 2509, presented at 2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE, Canberra, Australia, 01 December 2020 - 04 December 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308566.
Sallam KM; Turan HH; Chakrabortty RK; Elsawah S; Ryan MJ, 2020, 'A Differential Evolution Algorithm for Military Workforce Planning Problems: A Simulation-Optimization Approach', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2504 - 2509, http://dx.doi.org/10.1109/SSCI47803.2020.9308566
Sallam K; Elsayed S; Chakrabortty R; Ryan M, 2020, 'Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems', in 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE, Glasgow, United Kingdom, pp. 1 - 8, presented at IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020, Glasgow, United Kingdom, 19 July 2020 - 24 July 2020, http://dx.doi.org/10.1109/CEC48606.2020.9185577
Sallam K; Elsayed S; Chakrabortty R; Ryan M, 2020, 'Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems', in IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, presented at IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020, Glasgow, United Kingdom, 19 July 2020 - 24 July 2020, http://dx.doi.org/10.1109/CEC48606.2020.9185722.
Sallam KM; Elsayed SM; Chakrabortty RK; Ryan MJ, 2020, 'Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems', in 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings, http://dx.doi.org/10.1109/CEC48606.2020.9185722
Books and book chapters
Chakrabortty R; Sarker R; Essam D, 2018, 'A Comparative Study of Different Integer Linear Programming Approaches for Resource-Constrained Project Scheduling Problems', in Data and Decision Sciences in Action, Lecture Notes in Management and Industrial Engineering, Springer, Cham, pp. 227 - 242, http://dx.doi.org/10.1007/978-3-319-55914-8_17
Chakrabortty RK; Sarker ; Essam , 2017, 'Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Approach', in Intelligent and Evolutionary Systems, edn. Proceedings in Adaptation, Learning and Optimization, vol 8., Springer, Canberra, Australia, pp. 75 - 86, http://dx.doi.org/10.1007/978-3-319-49049-6_6
Key contact
Dr Ripon K. Chakrabortty, opens in a new window
M: +61 414 388 209
E: r.chakrabortty@unsw.edu.au