Ali Ahrari

Research Fellow
Lecturer

Ali Ahrari received his Bachelor's and Master's degrees in mechanical engineering from the University of Tehran in 2006 and 2009, respectively. He received his Ph.D. in mechanical engineering from Michigan State University (MSU) in 2016 and subsequently worked as a research associate at MSU until June 2018. He has won some international competitions on optimization such as "Competition on niching methods for multimodal optimization" in 2016 and 2020, which was held at CEC and GECCO conferences, as well as international student competition on structural optimization (ISCSO) in 2017 and 2018 and received a 1000 euro cash prizes. Since July 2018, he is working at UNSW-Canberra as a research associate in the Canberra Evolutionary Optimization group. His current research concentrates on evolutionary dynamic and noisy optimization with a focus on multimodal and multiobjective problems. 

Book Chapters
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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
2022
Ahrari A; Deb K, 2021, 'Multimodal Optimization by Evolution Strategies with Repelling Subpopulations', in Natural Computing Series, pp. 145 - 163, http://dx.doi.org/10.1007/978-3-030-79553-5_7
2021
Conference Papers
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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), IEEE, ELECTR NETWORK, pp. 612 - 619, presented at IEEE Congress on Evolutionary Computation (IEEE CEC), ELECTR NETWORK, 28 June 2021 - 01 July 2021, http://dx.doi.org/10.1109/CEC45853.2021.9504950
2021
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, IEEE, pp. 1387 - 1394, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 01 December 2020 - 04 December 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308464
2020
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
2019
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
2017
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
2016
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
2015
Journal articles
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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, vol. 17, http://dx.doi.org/10.1016/j.softx.2021.100961
2022
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, vol. 53, pp. 1574 - 1592, http://dx.doi.org/10.1080/0305215X.2020.1808972
2021
Ahrari A; Elsayed S; Sarker R; Essam D; Coello Coello CA, 2021, 'Weighted pointwise prediction method for dynamic multiobjective optimization', Information Sciences, vol. 546, pp. 349 - 367, http://dx.doi.org/10.1016/j.ins.2020.08.015
2021
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, vol. 101, http://dx.doi.org/10.1016/j.asoc.2020.107027
2021
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, vol. 25, pp. 463 - 477, http://dx.doi.org/10.1109/TEVC.2021.3051172
2021
Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 2021, 'A Novel Parametric benchmark generator for dynamic multimodal optimization', Swarm and Evolutionary Computation, vol. 65, pp. 100924 - 100924, http://dx.doi.org/10.1016/j.swevo.2021.100924
2021
Mahmud F; Zaman F; Ahrari A; Sarker R; Essam D, 2021, 'Genetic Algorithm for Singular Resource Constrained Project Scheduling Problems', IEEE Access, vol. 9, pp. 131767 - 131779, http://dx.doi.org/10.1109/ACCESS.2021.3114702
2021
Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 2021, 'Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations', IEEE Transactions on Evolutionary Computation, pp. 1 - 1, http://dx.doi.org/10.1109/TEVC.2021.3117116
2021
Ahrari A; Atai AA; Deb K, 2020, 'A customized bilevel optimization approach for solving large-scale truss design problems', Engineering Optimization, vol. 52, pp. 2062 - 2079, http://dx.doi.org/10.1080/0305215X.2020.1740690
2020
Ahrari A; Deb K, 2018, 'A Novel Class of Test Problems for Performance Evaluation of Niching Methods', IEEE Transactions on Evolutionary Computation, vol. 22, pp. 909 - 919, http://dx.doi.org/10.1109/TEVC.2017.2775211
2018
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, vol. 49, pp. 328 - 344, http://dx.doi.org/10.1080/0305215X.2016.1168108
2017
Ahrari A; Kramer O, 2017, 'Finite life span for improving the selection scheme in evolution strategies', Soft Computing, vol. 21, pp. 501 - 513, http://dx.doi.org/10.1007/s00500-015-1805-3
2017
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, vol. 12, http://dx.doi.org/10.1088/1748-3190/aa69a4
2017
Ahrari A; Deb K; Preuss M, 2017, 'Multimodal optimization by covariance matrix self-adaptation evolution strategy with repelling subpopulations', Evolutionary Computation, vol. 25, pp. 439 - 471, http://dx.doi.org/10.1162/EVCO_a_00182
2017
Ahrari A; Deb K, 2016, 'An improved fully stressed design evolution strategy for layout optimization of truss structures', Computers and Structures, vol. 164, pp. 127 - 144, http://dx.doi.org/10.1016/j.compstruc.2015.11.009
2016
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, vol. 47, pp. 1063 - 1084, http://dx.doi.org/10.1080/0305215X.2014.947972
2015
Ahrari A; Shariat-Panahi M, 2015, 'An improved evolution strategy with adaptive population size', Optimization, vol. 64, pp. 2567 - 2586, http://dx.doi.org/10.1080/02331934.2013.836651
2015
Ahrari A; Atai AA, 2013, 'Fully stressed design evolution strategy for shape and size optimization of truss structures', Computers and Structures, vol. 123, pp. 58 - 67, http://dx.doi.org/10.1016/j.compstruc.2013.04.013
2013
Ahrari A, 2013, 'A requirement for the mutation operator in continuous optimization', Optimization Letters, vol. 7, pp. 1681 - 1690, http://dx.doi.org/10.1007/s11590-012-0514-4
2013
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, vol. 3, pp. 209-223 - 223, http://ijoce.iust.ac.ir/article-1-128-en.html
2013
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, vol. 28, pp. 72 - 79
2012
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.), vol. 22, pp. 13 - 21
2011
Ahrari A; Ahrari R, 2010, 'On the utility of randomly generated functions for performance evaluation of evolutionary algorithms', Optimization Letters, vol. 4, pp. 531 - 541, http://dx.doi.org/10.1007/s11590-010-0181-2
2010
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, vol. 215, pp. 3222 - 3229, http://dx.doi.org/10.1016/j.amc.2009.10.009
2010
Ahrari A; Atai AA, 2010, 'Grenade Explosion Method - A novel tool for optimization of multimodal functions', Applied Soft Computing Journal, vol. 10, pp. 1132 - 1140, http://dx.doi.org/10.1016/j.asoc.2009.11.032
2010
Ahrari A; Shariat-Panahi M; Atai AA, 2009, 'GEM: A novel evolutionary optimization method with improved neighborhood search', Applied Mathematics and Computation, vol. 210, pp. 376 - 386, http://dx.doi.org/10.1016/j.amc.2009.01.009
2009

2020            Winner of competition on niching methods for multimodal optimisation at IEEE WCCI/CEC'2020 (500 USD cash prize from IEEE) and GECCO'2020

2018            Winner of 2018 ISCSO competition on structural optimisation (1000 € prize)

2017            Winner of GECCO'2017 competition on multi-modal optimisation

2017             Winner of the 2017 ISCSO competition on structural optimisation among 60+ participants (1000 € prize)

2016             Winner of GECCO'2016, CEC'2016 competitions on multimodal optimisation

2016             Passed the FE/EIT mechanical engineering exam in the state of Michigan, USA

2013-2016   Graduate Office Fellowship (This fellowship was awarded multiple times)

2012             Richard H. Brown – ME Endowment Award

       

$3718 from the UNSW high-performance computing (HPC) resource allocation scheme

Engineering design by optimisation

Evolutionary algorithms

Multimodal optimisation

Bi-level optimisation

Organisational units
lensSchool of Engineering & Information Technology
Sub Theme
lensOptimization & Design