QPSO-based Algorithm for Multi-objective Optimization Problem
Quantum-behaved Particle Swarm Optimization Algorithm is a global convergent optimization algorithm. In this paper,we propose a Vector Evaluated Quantum-behaved Particle Swarm Optimization algorithm (VEQPSO) to solve multi-objective optimization problem. After described the concepts of VEQPSO, we test it on multi-objective benchmark problems. The experiment results of VEQPSO on four classic multi-objective minimization functions show the efficiency of the algorithm for solving multi-objective optimization problem.
Particle swarm optimization multi-objective optimization Quantum-behaved particle swarm optimization
Fangjing Guan Wenbo Xu Jun Sun
Computer Engineering School of Information Technology, Southern Yangtze University, Wuxi Jiangsu, 214122, China
国际会议
杭州
英文
1298-1302
2006-10-12(万方平台首次上网日期,不代表论文的发表时间)