GEM: A novel evolutionary optimization method with improved neighborhood search. - Ali Ahrari; M. Shariat Panahi; Ali A. Atai (Appl. Math. Comput., 2009)

On the limitations of classical benchmark functions for evaluating robustness of evolutionary algorithms. - Ali Ahrari; Mohammad R. Saadatmand; Masoud Shariat Panahi; Ali A. Atai (Appl. Math. Comput., 2010)

Grenade Explosion Method - A novel tool for optimization of multimodal functions. - Ali Ahrari; Ali A. Atai (Appl. Soft Comput., 2010)

On the utility of randomly generated functions for performance evaluation of evolutionary algorithms. - Ali Ahrari; Reza Ahrari (Optim. Lett., 2010)

A requirement for the mutation operator in continuous optimization. - Ali Ahrari (Optim. Lett., 2013)

Design optimization of artificial lateral line system under uncertain conditions. - Ali Ahrari; Hong Lei; Montassar Aidi Sharif; Kalyanmoy Deb; Xiaobo Tan (CEC, 2015)

Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions. - Ali Ahrari; Hong Lei; Montassar Aidi Sharif; Kalyanmoy Deb; Xiaobo Tan (GECCO (Companion), 2016)

Multi-objective optimization of cellular scanning strategy in selective laser melting. - Ali Ahrari; Kalyanmoy Deb; Sankhya Mohanty; Jesper Henri Hattel (CEC, 2017)

Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations. - Ali Ahrari; Kalyanmoy Deb; Mike Preuss (Evol. Comput., 2017)

Finite life span for improving the selection scheme in evolution strategies. - Ali Ahrari; Oliver Kramer 001 (Soft Comput., 2017)

A Novel Class of Test Problems for Performance Evaluation of Niching Methods. - Ali Ahrari; Kalyanmoy Deb (IEEE Trans. Evol. Comput., 2018)

A New Prediction Approach for Dynamic Multiobjective Optimization. - Ali Ahrari; Saber M. Elsayed; Ruhul A. Sarker; Daryl Essam (CEC, 2019)

Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods. - Ali Ahrari; Saber M. Elsayed; Ruhul A. Sarker; Daryl Essam; Carlos A. Coello Coello (SSCI, 2020)

Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling. - Ali Ahrari; Saber M. Elsayed; Ruhul A. Sarker; Daryl Essam; Carlos A. Coello Coello (CEC, 2021)

Genetic Algorithm for Singular Resource Constrained Project Scheduling Problems. - Firoz Mahmud; Forhad Zaman; Ali Ahrari; Ruhul A. Sarker; Daryl Essam (IEEE Access, 2021)

A heredity-based adaptive variation operator for reinitialization in dynamic multi-objective problems. - Ali Ahrari; Saber M. Elsayed; Ruhul A. Sarker; Daryl Essam; Carlos A. Coello Coello (Appl. Soft Comput., 2021)

Weighted pointwise prediction method for dynamic multiobjective optimization. - Ali Ahrari; Saber M. Elsayed; Ruhul A. Sarker; Daryl Essam; Carlos A. Coello Coello (Inf. Sci., 2021)

A Novel Parametric benchmark generator for dynamic multimodal optimization. - Ali Ahrari; Saber Mohammed Elsayed; Ruhul Amin Sarker; Daryl Essam; Carlos A. Coello Coello (Swarm Evol. Comput., 2021)

Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization. - Ali Ahrari; Saber Mohammed Elsayed; Ruhul Amin Sarker; Daryl Essam; Carlos A. Coello Coello (IEEE Trans. Evol. Comput., 2021)

Multimodal Optimization by Evolution Strategies with Repelling Subpopulations. - Ali Ahrari; Kalyanmoy Deb (Metaheuristics for Finding Multiple Solutions, 2021)

PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods. - Ali Ahrari; Saber M. Elsayed; Ruhul A. Sarker; Daryl Essam; Carlos A. Coello Coello (SoftwareX, 2022)

Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy With Repelling Subpopulations. - Ali Ahrari; Saber M. Elsayed; Ruhul A. Sarker; Daryl Essam; Carlos A. Coello Coello (IEEE Trans. Evol. Comput., 2022)

Online model tuning in surrogate-assisted optimization - An effective approach considering the cost-benefit tradeoff. - Ali Ahrari; Dries Verstraete (Swarm Evol. Comput., 2023)

Revisiting Implicit and Explicit Averaging for Noisy Optimization. - Ali Ahrari; Saber M. Elsayed; Ruhul A. Sarker; Daryl Essam; Carlos A. Coello Coello (IEEE Trans. Evol. Comput., 2023)

New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization. - Ali Ahrari; Jonathan E. Fieldsend; Mike Preuss; Xiaodong Li 001; Michael Epitropakis (GECCO, 2024)

Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization. - Ali Ahrari; Jonathan E. Fieldsend; Mike Preuss; Xiaodong Li 001; Michael Epitropakis (GECCO Companion, 2024)

Aggregated Partial Hypervolumes - An Overall Indicator for Performance Evaluation of Multimodal Multiobjective Optimization Methods. - Ali Ahrari; Ruhul A. Sarker; Carlos A. Coello Coello (PPSN (2), 2024)

A novel transformation to improve the robustness of value-based surrogate models. - Ali Ahrari; Thomas Philip Runarsson; Dries Verstraete (Swarm Evol. Comput., 2025)