Zhu, Xiaojing; Zhou, Yuanwu; Gong, Yi; Cai, Xueji; Zhang, Xianghua A particle swarm optimization algorithm based on a diversity strategy. (Chinese. English summary) Zbl 1249.68224 J. Guangxi Univ. Technol. 22, No. 1, 74-77 (2011). Summary: A loss of particle swarm diversity in standard particle swarm optimization easily leads to the algorithm being trapped in a local optimum. This article proposes a solution called particle swarm diversity loss optimization algorithm. The strategy introduces an exclusive operation and enhances the search efficiency. MSC: 68T20 Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) Keywords:particle swarm optimization; diversity strategy; balance PDFBibTeX XMLCite \textit{X. Zhu} et al., J. Guangxi Univ. Technol. 22, No. 1, 74--77 (2011; Zbl 1249.68224)