国产精品

Dr Ali Ahrari

Dr Ali Ahrari

Lecturer

Doctor of Philosophy in Mechanical Engineering (December 2016), Michigan State University, East Lansing, MI, USA (GPA: 4.00/4)
Master of Science in Mechanical Engineering-Applied Design (September 2009),听University of Tehran, Tehran, Iran
Bachelor of Science in Mechanical Engineering-Solid Mechanics (September 2006), University of Tehran, Tehran, Iran

国产精品 Canberra
School of Systems & Computing

Dr. Ali Ahrari is a Lecturer at the School of Systems and Computing, University of New South Wales, Canberra, Australia. He received his Ph.D. in mechanical engineering from Michigan State University (MSU) in 2016 and subsequently worked as a professional aide 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 an international student competition on structural optimization (ISCSO) in 2017 and 2018. From July 2018 to May 2022, he worked at 国产精品-Canberra as a research associate/fellow in the Canberra Evolutionary Optimization group. After 15 months working as a research fellow at the University of Sydney, he returned to 国产精品-Canberra in August 2023, working as a lecturer at the School of Systems and Computing.

Dr Ahrari is the recipient of the Australian Research Council Discovery Early Career Researcher Award 听(ARC-DECRA'2023) for the project "An Efficient Computational Solver for Complex Engineering Problems." His current research focuses on evolutionary algorithms to solve multimodal and multiobjective problems. Dr Ahrari has 28 peer-reviewed publications (25 papers as the first author) in scientific journals including 4 papers in lEEE Transactions on Evolutionary Computation. He is a member of the editorial board of 鈥淎pplied Soft Computing.鈥

Location
Building 15, Room 1113
  • Book Chapters | 2024
    Ahrari A; Sarker R; Coello CAC, 2024, 'Aggregated Partial Hypervolumes - An Overall Indicator for听Performance Evaluation of听Multimodal Multiobjective Optimization Methods', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 3 - 19,
    Book Chapters | 2022
    Ahrari A; Essam D, 2022, 'An Introduction to Evolutionary and Memetic Algorithms for Parameter Optimization', in Adaptation, Learning, and Optimization, pp. 37 - 63,
    Book Chapters | 2021
    Ahrari A; Deb K, 2021, 'Multimodal Optimization by Evolution Strategies with Repelling Subpopulations', in Metaheuristics for Finding Multiple Solutions, pp. 145 - 163,
  • Journal articles | 2023
    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,
    Journal articles | 2023
    Ahrari A; Verstraete D, 2023, 'Online model tuning in surrogate-assisted optimization 鈥 An effective approach considering the cost鈥揵enefit tradeoff', Swarm and Evolutionary Computation, 82,
    Journal articles | 2022
    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,
    Journal articles | 2022
    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,
    Journal articles | 2021
    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,
    Journal articles | 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, 65,
    Journal articles | 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, 101, pp. 107027,
    Journal articles | 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, 25, pp. 463 - 477,
    Journal articles | 2021
    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,
    Journal articles | 2021
    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,
    Journal articles | 2020
    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,
    Journal articles | 2018
    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,
    Journal articles | 2017
    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,
    Journal articles | 2017
    Ahrari A; Kramer O, 2017, 'Finite life span for improving the selection scheme in evolution strategies', Soft Computing, 21, pp. 501 - 513,
    Journal articles | 2017
    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,
    Journal articles | 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, 12,
    Journal articles | 2016
    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,
    Journal articles | 2015
    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,
    Journal articles | 2015
    Ahrari A; Shariat-Panahi M, 2015, 'An improved evolution strategy with adaptive population size', Optimization, 64, pp. 2567 - 2586,
    Journal articles | 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, 3, pp. 209-223 - 223,
    Journal articles | 2013
    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,
    Journal articles | 2013
    Ahrari A, 2013, 'A requirement for the mutation operator in continuous optimization', Optimization Letters, 7, pp. 1681 - 1690,
    Journal articles | 2012
    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
    Journal articles | 2011
    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
    Journal articles | 2010
    Ahrari A; Ahrari R, 2010, 'On the utility of randomly generated functions for performance evaluation of evolutionary algorithms', Optimization Letters, 4, pp. 531 - 541,
    Journal articles | 2010
    Ahrari A; Atai AA, 2010, 'Grenade Explosion Method - A novel tool for optimization of multimodal functions', Applied Soft Computing Journal, 10, pp. 1132 - 1140,
    Journal articles | 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, 215, pp. 3222 - 3229,
    Journal articles | 2009
    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,
  • Conference Papers | 2024
    Ahrari A; Fieldsend J; Preuss M; Li X; Epitropakis M, 2024, 'Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization', in Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, pp. 5 - 6, presented at GECCO '24 Companion: Genetic and Evolutionary Computation Conference Companion,
    Conference Papers | 2024
    Ahrari A; Fieldsend J; Preuss M; Li X; Epitropakis M, 2024, 'New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization', in Proceedings of the Genetic and Evolutionary Computation Conference, ACM, presented at GECCO '24: Genetic and Evolutionary Computation Conference,
    Conference Papers | 2021
    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,
    Conference Papers | 2020
    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,
    Conference Papers | 2019
    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,
    Conference Papers | 2017
    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,
    Conference Papers | 2016
    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,
    Conference Papers | 2015
    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,

2023-2016: ARC Discovery Early Career Research Award (DECRA) (Lead Investigator, 329,278 AUD)

2023: NCI adapter scheme (Lead Investigator, 2,200 AUD)

2022:听NCI adapter scheme (Chief Investigator, $5,600)

2019-2021:听 国产精品 high-performance computing (HPC) resource allocation scheme (Lead Investigator, $3,718)

听 听 听 2022听听听听听听听听听听听听Winner of the competition on seeking multiple optima in dynamic environments at IEEE CEC鈥2022

听 听 听 2022 听听听听听听听听听听听Winner of the competition on dynamic optimization problems generated by generalized moving peaks benchmark at IEEE CEC鈥2022

听 听 听 2021听 听 听 听 听 听 Associate Fellow of the Higher Education Academy (AFHEA)

2020听听听听听听听听听听听听Winner of competition on niching methods for multimodal optimisation at (500 USD cash prize from IEEE) and

2018听听听听听听听听听听听 Winner of competition on structural optimisation (1000 鈧 prize)

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

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

2016听听听听听听听听听听听听 Winner of , competitions on multimodal optimisation

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

2012听听听听听听听听听听听听 Richard H. Brown 鈥 ME Endowment Award

听 听 听 听

My research focuses on the foundations and applications of computational optimisation, evolutionary computation, and swarm intelligence. I am particularly interested in multi-objective and multi-modal optimisation.听 听

I can supervise enthusiastic HDR students (PhD or Master鈥檚 by research) whose research plans overlap with my expertise and background. The University often offers scholarships for highly competitive applicants.听 Interested applicants are encouraged to contact me with the following information:

  1. CV + 听publication list
  2. Transcripts
  3. English test score. You can find about the scores here: /english-requirements-policy
  4. Your research proposal (1-2 pages). 听Depending on your research interest, it is suggested that you visit 听EvOpt group website () or MDO lab ().

  1. Chair of IEEE CIS Task force on Multi-modal Optimization
  2. Member of the editorial board of Applied Soft Computing (Q1)
  3. Lead Organiser of the competition on 鈥淏enchmarking niching methods for multimodal optimization鈥 at GECCO鈥2024
  4. Lead Organiser of the 鈥淐ompetition on dynamic multimodal optimization鈥 at IEEE CEC鈥2022
  5. Chair of two special sessions at IEEE CEC鈥2022 Conference
  6. Invited member of the IEEE CIS Task Force on multi-modal optimisation (2019-2024)
  7. Member of the scientific committee of ISCSO student competitions on structural optimisation听 (2019-now)

My Research Supervision

1 PhD student at SEIT, 国产精品-Canberra

My Teaching

Introduction to Programming (tutor and lab demonstrator) (2018, 2019, 2021)

Computational Problem Solving (lab demonstrator) (2024)