90 citations · 90 across the 2 of their papers we have counts for
2 papers
cs.NE2022★ 90 cited
Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization
Wenhua Li, Xingyi Yao, Kaiwen Li +3
Most multimodal multi-objective evolutionary algorithms (MMEAs) aim to find all global Pareto optimal sets (PSs) for a multimodal multi-objective optimization problem (MMOP). Howev…
cs.NE2022
Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems
Daniel Herring, Michael Kirley, Xin Yao
Dynamic multi-objective optimization problems (DMOPs) are widely accepted to be more challenging than stationary problems due to the time-dependent nature of the objective function…