Multi-objective Multimodal Optimization on MMMOP benchmark leaderboard · SOTA2 Research

Multi-objective Multimodal Optimization on MMMOP

1.139MMMOP1MMEAWI

Evaluation Results

Method	Links
MMEAWI2026.05		1.139	8.0618	0.6964	1.1289	0.941	3.0279
HREA2026.05		0.9232	1.7443	1.3776	0.9785	0.8958	6.252
CoMMEA2026.05		0.6511	2.3119	1.8505	0.5825	0.6472	1.963
MMEAPSL2026.05		0.6267	0.6963	0.6755	0.6956	0.6786	3.8503
CMMO2026.05		0.5878	0.6494	0.6966	0.7114	0.6682	1.951
CLDE-M2026.05		0.3937	0.4132	0.4208	0.4517	0.4312	1.9616