A parallel global-local mixed evolutionary algorithm for multimodal function optimization based on domain decomposition
Wu Zhi-jian, Tang Zhi-long, Kang Li-shan · Wuhan University Journal of Natural Sciences · 2003
This paper presents a parallel two-level evolutionary algorithm based on domain decomposition for solving function optimization problem containing multiple solutions. By combining the characteristics of the global search and local search in each sub-domain, the former enables individual to draw closer to each optima and keeps the diversity of individuals, while the latter selects local optimal solutions known as latent solutions in sub-domain. In the end, by selecting the global optimal solutions from latent solutions in each sub-domain, we can discover all the optimal solutions easily and quickly.