44 citations · 52 across the 3 of their papers we have counts for
3 papers
cs.NE2023★ 5 cited
EDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms
Mai Peng, Delaram Yazdani, Zeneng She +9
Many real-world optimization problems exhibit dynamic characteristics, posing significant challenges for traditional optimization techniques. Evolutionary Dynamic Optimization Algo…
cs.NE2022★ 44 cited
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments
Wenjian Luo, Xin Lin, Changhe Li +2
Dynamic and multimodal features are two important properties and widely existed in many real-world optimization problems. The former illustrates that the objectives and/or constrai…
cs.NE2021★ 3 cited
Competition on Dynamic Optimization Problems Generated by Generalized Moving Peaks Benchmark (GMPB)
Danial Yazdani, Michalis Mavrovouniotis, Changhe Li +6
The Generalized Moving Peaks Benchmark (GMPB) is a tool for generating continuous dynamic optimization problem instances with controllable dynamic and morphological characteristics…