作者: Jiejin Cai , Xiaoqian Ma , Qiong Li , Lixiang Li , Haipeng Peng
DOI: 10.1016/J.ENCONMAN.2009.01.013
关键词: Simulation 、 Fuel cost 、 Multi-objective optimization 、 Swarm intelligence 、 Engineering 、 Economic dispatch 、 Chaotic particle swarm optimization 、 Mathematical optimization 、 Constrained optimization 、 Particle swarm optimization 、 Test power
摘要: A multi-objective chaotic particle swarm optimization (MOCPSO) method has been developed to solve the environmental/economic dipatch (EED) problems considering both economic …