Select Publications
Journal articles
2018, 'Evolutionary Algorithms for Finding Nash Equilibria in Electricity Markets', IEEE Transactions on Evolutionary Computation, 22, pp. 536 - 549, http://dx.doi.org/10.1109/TEVC.2017.2742502
,2017, 'Consolidated optimization algorithm for resource-constrained project scheduling problems', Information Sciences, 418-419, pp. 346 - 362, http://dx.doi.org/10.1016/j.ins.2017.08.023
,2017, 'Landscape-based adaptive operator selection mechanism for differential evolution', Information Sciences, 418-419, pp. 383 - 404, http://dx.doi.org/10.1016/j.ins.2017.08.028
,2017, 'Fuzzy Rule-Based Design of Evolutionary Algorithm for Optimization', IEEE Transactions on Cybernetics, 49, pp. 301 - 314, http://dx.doi.org/10.1109/TCYB.2017.2772849
,2017, 'Sequence-Based Deterministic Initialization for Evolutionary Algorithms', IEEE Transactions on Cybernetics, 47, pp. 2911 - 2923, http://dx.doi.org/10.1109/TCYB.2016.2630722
,2017, 'Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms', Applied Soft Computing Journal, 56, pp. 717 - 729, http://dx.doi.org/10.1016/j.asoc.2016.07.009
,2017, 'Co-evolutionary approach for strategic bidding in competitive electricity markets', Applied Soft Computing Journal, 51, pp. 1 - 22, http://dx.doi.org/10.1016/j.asoc.2016.11.049
,2016, 'Evolutionary algorithms for power generation planning with uncertain renewable energy', Energy, 112, pp. 408 - 419, http://dx.doi.org/10.1016/j.energy.2016.06.083
,2016, 'Configuring two-algorithm-based evolutionary approach for solving dynamic economic dispatch problems', Engineering Applications of Artificial Intelligence, 53, pp. 105 - 125, http://dx.doi.org/10.1016/j.engappai.2016.04.001
,2016, 'Differential evolution framework for big data optimization', Memetic Computing, 8, pp. 17 - 33, http://dx.doi.org/10.1007/s12293-015-0174-x
,2016, 'Evolutionary Algorithms for Dynamic Economic Dispatch Problems', IEEE Transactions on Power Systems, 31, pp. 1486 - 1495, http://dx.doi.org/10.1109/TPWRS.2015.2428714
,2015, 'Evolutionary algorithm for analyzing higher degree research student recruitment and completion', Cogent Engineering, 2, http://dx.doi.org/10.1080/23311916.2015.1063760
,2015, 'Survey of Uses of Evolutionary Computation Algorithms and Swarm Intelligence for Network Intrusion Detection', International Journal of Computational Intelligence and Applications, 14, http://dx.doi.org/10.1142/S146902681550025X
,2015, 'Mathematical framework for recursive model-based system design', Nonlinear Dynamics, 84, pp. 223 - 236, http://dx.doi.org/10.1007/s11071-015-2418-1
,2015, 'Decomposition-based evolutionary algorithm for large scale constrained problems', Information Sciences, 316, pp. 457 - 486, http://dx.doi.org/10.1016/j.ins.2014.10.035
,2015, 'Training and testing a self-adaptive multi-operator evolutionary algorithm for constrained optimization', Applied Soft Computing Journal, 26, pp. 515 - 522, http://dx.doi.org/10.1016/j.asoc.2014.10.011
,2014, 'A constraint consensus memetic algorithm for solving constrained optimization problems', Engineering Optimization, 46, pp. 1447 - 1464, http://dx.doi.org/10.1080/0305215X.2013.846336
,2014, 'Differential evolution with dynamic parameters selection for optimization problems', IEEE Transactions on Evolutionary Computation, 18, pp. 689 - 707, http://dx.doi.org/10.1109/TEVC.2013.2281528
,2014, 'Self-adaptive mix of particle swarm methodologies for constrained optimization', Information Sciences, 277, pp. 216 - 233, http://dx.doi.org/10.1016/j.ins.2014.01.051
,2014, 'A self-adaptive combined strategies algorithm for constrained optimization using differential evolution', Applied Mathematics and Computation, 241, pp. 267 - 282, http://dx.doi.org/10.1016/j.amc.2014.05.018
,2014, 'A new genetic algorithm for solving optimization problems', Engineering Applications of Artificial Intelligence, 27, pp. 57 - 69, http://dx.doi.org/10.1016/j.engappai.2013.09.013
,2013, 'Adaptive Configuration of evolutionary algorithms for constrained optimization', Applied Mathematics and Computation, 222, pp. 680 - 711, http://dx.doi.org/10.1016/j.amc.2013.07.068
,2013, 'An improved self-adaptive differential evolution algorithm for optimization problems', IEEE Transactions on Industrial Informatics, 9, pp. 89 - 99, http://dx.doi.org/10.1109/TII.2012.2198658
,2013, 'Self-adaptive differential evolution incorporating a heuristic mixing of operators', Computational Optimization and Applications, 54, pp. 771 - 790, http://dx.doi.org/10.1007/s10589-012-9493-8
,2012, 'On an Evolutionary Approach for Constrained Optimization Problem Solving', Applied soft computing : the official journal of the World Federation on Soft Computing (WFSC), 12, pp. 3208 - 3227, http://dx.doi.org/10.1016/j.asoc.2012.05.013
,2011, 'Multi-operator based evolutionary algorithms for solving constrained optimization problems', Computers and Operations Research, 38, pp. 1877 - 1896, http://dx.doi.org/10.1016/j.cor.2011.03.003
,Conference Papers
2024, 'Constraint Consensus for Solving Large-scale Constrained Optimization Problems', in 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings, http://dx.doi.org/10.1109/CEC60901.2024.10611820
,2024, 'Differential Evolution Algorithm for Battlefield Surveillance Sensor Placement', in 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings, http://dx.doi.org/10.1109/CEC60901.2024.10611836
,2024, 'Large-Scale Project Portfolio Selection and Scheduling Problem: A Comparison of Exact Solvers and Metaheuristics', in 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings, http://dx.doi.org/10.1109/CEC60901.2024.10612051
,2024, 'Large-Scale Swarm Control in Cluttered Environments', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 384 - 395, http://dx.doi.org/10.1007/978-981-99-8715-3_32
,2023, 'Distance Constrained Robotic Swarm Shepherding Based on Two-Phase Ant Colony Optimisation', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 5224 - 5230, http://dx.doi.org/10.1109/SMC53992.2023.10394448
,2023, 'Effective Robotic Swarm Shepherding in the Presence of Obstacles', in 2023 IEEE Congress on Evolutionary Computation, CEC 2023, http://dx.doi.org/10.1109/CEC53210.2023.10254040
,2023, 'Electric Vehicle-Drone Routing Problem with Optional Drone Availability', in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 827 - 832, http://dx.doi.org/10.1109/ITSC57777.2023.10422505
,2023, 'Improved Shepherding Model for Large-scale Swarm Control', in International Conference on Smart Computing and Application, ICSCA 2023, http://dx.doi.org/10.1109/ICSCA57840.2023.10087385
,2023, 'Landscape-Based Genetic Algorithm with Quantum Entanglement for Dynamic Optimization Problems', in International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, pp. 187 - 192, http://dx.doi.org/10.1109/SKIMA59232.2023.10387354
,2023, 'Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191371
,2023, 'Predicting Energy Consumption of Battery-Operated Electric Vehicles: A Comparative Performance Assessment', in 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, pp. 1032 - 1036, http://dx.doi.org/10.1109/IEEM58616.2023.10406558
,2023, 'Towards Mitigating ChatGPT's Negative Impact on Education: Optimizing Question Design Through Bloom's Taxonomy', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223662
,2023, 'Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System', in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, pp. 197 - 214, http://dx.doi.org/10.1007/978-3-031-30855-0_14
,2022, 'Coevolutionary Algorithm for Evolving Competitive Strategies in the Weapon Target Assignment Problem', in ACM International Conference Proceeding Series, pp. 9 - 18, http://dx.doi.org/10.1145/3533050.3533052
,2022, 'A Novel Multi-Objective Project Portfolio Selection and Scheduling Problem', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, pp. 480 - 487, http://dx.doi.org/10.1109/SSCI51031.2022.10022287
,2022, 'Coevolution with Danger Zone Levels Strategy for the Weapon Target Assignment Problem', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, pp. 596 - 603, http://dx.doi.org/10.1109/SSCI51031.2022.10022268
,2022, 'Evolutionary Constrained Optimization with Dynamic Changes and Uncertainty in the Objective Function', in International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, pp. 54 - 60, http://dx.doi.org/10.1109/SKIMA57145.2022.10029469
,2022, 'Reinforcement Learning for Solving Communication Problems in Shepherding', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, pp. 1626 - 1635, http://dx.doi.org/10.1109/SSCI51031.2022.10022160
,2022, 'Solving constrained problems with dynamic objective functions', in 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings, http://dx.doi.org/10.1109/CEC55065.2022.9870354
,2021, 'A Comparative Study of Different Forecasting Models for Energy Demand Forecasting', in Smart Innovation, Systems and Technologies, Tekkali, India, pp. 553 - 564, presented at 6th International Conference on Computational Intelligence in Data Mining, Tekkali, India, 11 December 2021 - 12 December 2021, http://dx.doi.org/10.1007/978-981-16-9447-9_42
,2021, 'Project portfolio selection with defense capability options', in GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), pp. 1825 - 1826, presented at Proceedings of the Genetic and Evolutionary Computation Conference Companion, http://dx.doi.org/10.1145/3449726.3463126
,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
,2021, 'A Graph-based Approach for Shepherding Swarms with Limited Sensing Range', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, pp. 2315 - 2322, http://dx.doi.org/10.1109/CEC45853.2021.9504706
,2021, 'A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2634 - 2641, http://dx.doi.org/10.1109/SMC52423.2021.9659082
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