Ali Ahrari

Orcid: 0000-0001-7232-7967

According to our database1, Ali Ahrari authored at least 27 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Aggregated Partial Hypervolumes - An Overall Indicator for Performance Evaluation of Multimodal Multiobjective Optimization Methods.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Revisiting Implicit and Explicit Averaging for Noisy Optimization.
IEEE Trans. Evol. Comput., October, 2023

Online model tuning in surrogate-assisted optimization - An effective approach considering the cost-benefit tradeoff.
Swarm Evol. Comput., October, 2023

2022
Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy With Repelling Subpopulations.
IEEE Trans. Evol. Comput., 2022

PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods.
SoftwareX, 2022

2021
Multimodal Optimization by Evolution Strategies with Repelling Subpopulations.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021

Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization.
IEEE Trans. Evol. Comput., 2021

A Novel Parametric benchmark generator for dynamic multimodal optimization.
Swarm Evol. Comput., 2021

Weighted pointwise prediction method for dynamic multiobjective optimization.
Inf. Sci., 2021

A heredity-based adaptive variation operator for reinitialization in dynamic multi-objective problems.
Appl. Soft Comput., 2021

Genetic Algorithm for Singular Resource Constrained Project Scheduling Problems.
IEEE Access, 2021

Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
A New Prediction Approach for Dynamic Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Novel Class of Test Problems for Performance Evaluation of Niching Methods.
IEEE Trans. Evol. Comput., 2018

2017
Finite life span for improving the selection scheme in evolution strategies.
Soft Comput., 2017

Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations.
Evol. Comput., 2017

Multi-objective optimization of cellular scanning strategy in selective laser melting.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Design optimization of artificial lateral line system under uncertain conditions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2013
A requirement for the mutation operator in continuous optimization.
Optim. Lett., 2013

2010
On the utility of randomly generated functions for performance evaluation of evolutionary algorithms.
Optim. Lett., 2010

Grenade Explosion Method - A novel tool for optimization of multimodal functions.
Appl. Soft Comput., 2010

On the limitations of classical benchmark functions for evaluating robustness of evolutionary algorithms.
Appl. Math. Comput., 2010

2009
GEM: A novel evolutionary optimization method with improved neighborhood search.
Appl. Math. Comput., 2009


  Loading...