By Dr Ali Ahrari

Book Chapters

Ahrari A; Essam D, 2022, 'An Introduction to Evolutionary and Memetic Algorithms for Parameter Optimization', in Adaptation, Learning, and Optimization, pp. 37 - 63, http://dx.doi.org/10.1007/978-3-030-88315-7_3

Ahrari A; Deb K, 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

Ahrari A; Verstraete D, 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

Ahrari A; Elsayed S; Sarker R; Essam D; Coello Coello CA, 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

Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 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

Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 2022, 'PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods', SoftwareX, 17, http://dx.doi.org/10.1016/j.softx.2021.100961

Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 2021, 'A Novel Parametric benchmark generator for dynamic multimodal optimization', Swarm and Evolutionary Computation, 65, http://dx.doi.org/10.1016/j.swevo.2021.100924

Ahrari A; Elsayed S; Sarker R; Essam D; Coello Coello CA, 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

Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 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

Ahrari A; Elsayed S; Sarker R; Essam D; Coello Coello CA, 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

Ahrari A; Blank J; Deb K; Li X, 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

Mahmud F; Zaman F; Ahrari A; Sarker R; Essam D, 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

Ahrari A; Atai AA; Deb K, 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

Ahrari A; Deb K, 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

Ahrari A; Lei H; Sharif MA; Deb K; Tan X, 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

Ahrari A; Lei H; Sharif MA; Deb K; Tan X, 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

Ahrari A; Kramer O, 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

Ahrari A; Deb K; Preuss M, 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

Ahrari A; Deb K, 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

Ahrari A; Shariat-Panahi M, 2015, 'An improved evolution strategy with adaptive population size', Optimization, 64, pp. 2567 - 2586, http://dx.doi.org/10.1080/02331934.2013.836651

Ahrari A; Atai AA; Deb K, 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

Ahrari A, 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

Ahrari A; Atai AA, 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

Ahrari A; Atai AA, 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

Ahrari F; Ramazanzadeh BA; Sabzevari B; Ahrari A, 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

Ramazanzadeh BA; Ahrari F; Sabzevari B; Zebarjad SM; Ahrari A, 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

Ahrari A; Ahrari R, 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

Ahrari A; Atai AA, 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

Ahrari A; Saadatmand MR; Shariat-Panahi M; Atai AA, 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

Ahrari A; Shariat-Panahi M; Atai AA, 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

Ahrari A; Elsayed S; Sarker R; Essam D; Coello Coello CA, 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, pp. 612 - 619, http://dx.doi.org/10.1109/CEC45853.2021.9504950

Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 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, pp. 1387 - 1394, http://dx.doi.org/10.1109/SSCI47803.2020.9308464

Ahrari A; Elsayed S; Sarker R; Essam D, 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

Ahrari A; Deb K; Mohanty S; Hattel JH, 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

Ahrari A; Lei H; Sharif MA; Deb K; Tan X, 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

Ahrari A; Lei H; Sharif MA; Deb K; Tan X, 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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