Dr Ali Ahrari

Research Associate
School of Engineering and Information Technology


Building 15, Room 104


Ali Ahrari received his Bachelor and Master degree in mechanical engineering from the University of Tehran in 2006 and 2009, respectively. He received his PhD in mechanical engineering from Michigan State University (MSU) in 2016, and subsequently worked as a research associate at MSU until June 2018. He has received 2012 Richard H. Brown – ME Endowment Award and Graduate Office Fellowships. He has won a few recent competitions on optimisation such as CEC'2016 and GECCO'2016 competition on niching method for multimodal optimisation and ISCSO 2017 competition on structural optimisation. Since July 2018, he is working at UNSW-Canberra as a research associate.  

Journal articles

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, 10.1109/TEVC.2017.2775211

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, 10.1162/EVCO_a_00182

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, 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, vol. 49, pp. 328 - 344, 10.1080/0305215X.2016.1168108

Ahrari A; Kramer O, 2017, 'Finite life span for improving the selection scheme in evolution strategies', Soft Computing, vol. 21, pp. 501 - 513, 10.1007/s00500-015-1805-3

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, 10.1016/j.compstruc.2015.11.009

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, 10.1080/0305215X.2014.947972

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

Ahrari A, 2013, 'A requirement for the mutation operator in continuous optimization', Optimization Letters, vol. 7, pp. 1681 - 1690, 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, vol. 123, pp. 58 - 67, 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, vol. 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, vol. 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.), vol. 22, pp. 13 - 21

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, 10.1016/j.asoc.2009.11.032

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, 10.1007/s11590-010-0181-2

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, 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, vol. 210, pp. 376 - 386, 10.1016/j.amc.2009.01.009

Conference Papers

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, presented at , 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, presented at , 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, presented at , 10.1109/CEC.2015.7257106