Select Publications
Book Chapters
2024, 'Aggregated Partial Hypervolumes - An Overall Indicator for Performance Evaluation of Multimodal Multiobjective Optimization Methods', in , pp. 3 - 19, http://dx.doi.org/10.1007/978-3-031-70068-2_1
,2022, 'An Introduction to Evolutionary and Memetic Algorithms for Parameter Optimization', in Sarker R (ed.), Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling., Springer Nature, pp. 37 - 63, http://dx.doi.org/10.1007/978-3-030-88315-7_3
,2021, 'Multimodal Optimization by Evolution Strategies with Repelling Subpopulations', in Metaheuristics for Finding Multiple Solutions, pp. 145 - 163, http://dx.doi.org/10.1007/978-3-030-79553-5_7
,Journal articles
2023, 'Online model tuning in surrogate-assisted optimization — An effective approach considering the cost–benefit tradeoff', Swarm and Evolutionary Computation, 82, http://dx.doi.org/10.1016/j.swevo.2023.101357
,2023, 'Revisiting Implicit and Explicit Averaging for Noisy Optimization', IEEE Transactions on Evolutionary Computation, 27, pp. 1250 - 1259, http://dx.doi.org/10.1109/TEVC.2022.3201090
,2022, 'Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations', IEEE Transactions on Evolutionary Computation, 26, pp. 527 - 541, http://dx.doi.org/10.1109/TEVC.2021.3117116
,2022, 'PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods', SoftwareX, 17, pp. 100961, http://dx.doi.org/10.1016/j.softx.2021.100961
,2021, 'A Novel Parametric benchmark generator for dynamic multimodal optimization', Swarm and Evolutionary Computation, 65, pp. 100924, http://dx.doi.org/10.1016/j.swevo.2021.100924
,2021, 'Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization', IEEE Transactions on Evolutionary Computation, 25, pp. 463 - 477, http://dx.doi.org/10.1109/TEVC.2021.3051172
,2021, 'A heredity-based adaptive variation operator for reinitialization in dynamic multi-objective problems', Applied Soft Computing, 101, pp. 107027, http://dx.doi.org/10.1016/j.asoc.2020.107027
,2021, 'Weighted pointwise prediction method for dynamic multiobjective optimization', Information Sciences, 546, pp. 349 - 367, http://dx.doi.org/10.1016/j.ins.2020.08.015
,2021, 'A proximity-based surrogate-assisted method for simulation-based design optimization of a cylinder head water jacket', Engineering Optimization, 53, pp. 1574 - 1592, http://dx.doi.org/10.1080/0305215X.2020.1808972
,2021, 'Genetic Algorithm for Singular Resource Constrained Project Scheduling Problems', IEEE Access, 9, pp. 131767 - 131779, http://dx.doi.org/10.1109/ACCESS.2021.3114702
,2020, 'A customized bilevel optimization approach for solving large-scale truss design problems', Engineering Optimization, 52, pp. 2062 - 2079, http://dx.doi.org/10.1080/0305215X.2020.1740690
,2018, 'A Novel Class of Test Problems for Performance Evaluation of Niching Methods', IEEE Transactions on Evolutionary Computation, 22, pp. 909 - 919, http://dx.doi.org/10.1109/TEVC.2017.2775211
,2017, 'Reliable underwater dipole source characterization in 3D space by an optimally designed artificial lateral line system', Bioinspiration and Biomimetics, 12, http://dx.doi.org/10.1088/1748-3190/aa69a4
,2017, 'Design optimization of an artificial lateral line system incorporating flow and sensor uncertainties', Engineering Optimization, 49, pp. 328 - 344, http://dx.doi.org/10.1080/0305215X.2016.1168108
,2017, 'Finite life span for improving the selection scheme in evolution strategies', Soft Computing, 21, pp. 501 - 513, http://dx.doi.org/10.1007/s00500-015-1805-3
,2017, 'Multimodal optimization by covariance matrix self-adaptation evolution strategy with repelling subpopulations', Evolutionary Computation, 25, pp. 439 - 471, http://dx.doi.org/10.1162/EVCO_a_00182
,2016, 'An improved fully stressed design evolution strategy for layout optimization of truss structures', Computers and Structures, 164, pp. 127 - 144, http://dx.doi.org/10.1016/j.compstruc.2015.11.009
,2015, 'An improved evolution strategy with adaptive population size', Optimization, 64, pp. 2567 - 2586, http://dx.doi.org/10.1080/02331934.2013.836651
,2015, 'Simultaneous topology, shape and size optimization of truss structures by fully stressed design based on evolution strategy', Engineering Optimization, 47, pp. 1063 - 1084, http://dx.doi.org/10.1080/0305215X.2014.947972
,2013, 'A requirement for the mutation operator in continuous optimization', Optimization Letters, 7, pp. 1681 - 1690, http://dx.doi.org/10.1007/s11590-012-0514-4
,2013, 'Fully stressed design evolution strategy for shape and size optimization of truss structures', Computers and Structures, 123, pp. 58 - 67, http://dx.doi.org/10.1016/j.compstruc.2013.04.013
,2013, 'EFFICIENT SIMULATION FOR OPTIMIZATION OF TOPOLOGY, SHAPE AND SIZE OF MODULAR TRUSS STRUCTURES', International Journal of Optimization in Civil Engineering, 3, pp. 209-223 - 223, http://ijoce.iust.ac.ir/article-1-128-en.html
,2012, 'The effect of fluoride exposure on the load-deflection properties of superelastic nickel-titanium-based orthodontic archwires.', Australian orthodontic journal, 28, pp. 72 - 79
,2011, 'Effects of a simulated oral environment and sterilization on load-deflection properties of superelastic nickel titanium-based orthodontic wires.', International journal of orthodontics (Milwaukee, Wis.), 22, pp. 13 - 21
,2010, 'On the utility of randomly generated functions for performance evaluation of evolutionary algorithms', Optimization Letters, 4, pp. 531 - 541, http://dx.doi.org/10.1007/s11590-010-0181-2
,2010, 'Grenade Explosion Method - A novel tool for optimization of multimodal functions', Applied Soft Computing Journal, 10, pp. 1132 - 1140, http://dx.doi.org/10.1016/j.asoc.2009.11.032
,2010, 'On the limitations of classical benchmark functions for evaluating robustness of evolutionary algorithms', Applied Mathematics and Computation, 215, pp. 3222 - 3229, http://dx.doi.org/10.1016/j.amc.2009.10.009
,2009, 'GEM: A novel evolutionary optimization method with improved neighborhood search', Applied Mathematics and Computation, 210, pp. 376 - 386, http://dx.doi.org/10.1016/j.amc.2009.01.009
,Conference Papers
2024, 'Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization', in GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pp. 5 - 6, http://dx.doi.org/10.1145/3638530.3664055
,2024, 'New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization', in GECCO 2024 - Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pp. 4 - 12, http://dx.doi.org/10.1145/3638529.3654016
,2021, 'Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), ELECTR NETWORK, pp. 612 - 619, presented at 2021 IEEE Congress on Evolutionary Computation (CEC), ELECTR NETWORK, 28 June 2021 - 01 July 2021, http://dx.doi.org/10.1109/CEC45853.2021.9504950
,2020, 'Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Institute of Electrical and Electronics Engineers (IEEE), ELECTR NETWORK, pp. 1387 - 1394, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), ELECTR NETWORK, 01 December 2020 - 04 December 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308464
,2019, 'A New Prediction Approach for Dynamic Multiobjective Optimization', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, IEEE Xplore, Wellington, New Zealand, New Zealand, pp. 2268 - 2275, presented at Congress on Evolutionary Computation (CEC), Wellington, New Zealand, New Zealand, 10 June 2019 - 13 June 2019, http://dx.doi.org/10.1109/CEC.2019.8790215
,2017, 'Multi-objective optimization of cellular scanning strategy in selective laser melting', in 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings, pp. 2730 - 2737, http://dx.doi.org/10.1109/CEC.2017.7969639
,2016, 'Optimum design of artificial lateral line systems for object tracking under uncertain conditions', in GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference, pp. 123 - 124, http://dx.doi.org/10.1145/2908961.2909040
,2015, 'Design optimization of artificial lateral line system under uncertain conditions', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, pp. 1807 - 1814, http://dx.doi.org/10.1109/CEC.2015.7257106
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