会议专题

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

2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

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)