Publications

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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.

  • 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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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/

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

  • 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

    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

    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

    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

    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

    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

    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

    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

    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

  • 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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

  • 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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

  • 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

    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

    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

    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

    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

    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

    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

    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

    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

    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
M: +61 414 388 209
E: r.chakrabortty@unsw.edu.au