An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems
by Hao Tian, Jia Guo, Haiyang Xiao, Ke Yan, Yuji Sato
An electronic transition-based bare bones particle swarm optimization (ETBBPSO) algorithm is proposed in this paper. The ETBBPSO is designed to present high precision results for high dimensional single-objective optimization problems. Particles in the ETBBPSO are divided into different orbits. A transition operator is proposed to enhance the global search ability of ETBBPSO. The transition behavior of particles gives the swarm more chance to escape from local minimums. Читать дальше...