郑州大学计算智能实验室
Computational Intelligence Laboratory
MSO Opt
Multimodal Singleobjective Optimization Problem
A distance-based locally informed particle swarm model for multimodal optimization（code）
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions（code）
CEC 2013 Special Session/Competition on Niching Methods for Multimodal Optimization（code）
Problem Definitions and Evaluation Criteria for the CEC 2015 Competition on Single Objective Multi-Niche Optimization（link）
Multinational evolutionary algorithms（paper）
An empirical study of bit vector function optimization（paper）
Genetic algorithms in multimodal function optimization（paper）
Niche radius adaptation in the cma-es niching algorithm（paper）
Genetic algorithms+ data structures= evolution programs（paper）
An analysis of the behavior of a class of genetic adaptive systems（paper）
Multimodal optimization using crowding-based differential evolution（paper）
A species conserving genetic algorithm for multimodal function optimization（paper）
Novel benchmark functions for continuous multimodal optimization with comparative results（paper）(code)