Fuzzy particle swarm algorithm is a novel optimization method for solving real problems by using both the fuzzy rules and the characteristics of particle swarm algorithm. This paper solves the classical TSP by fuzzy particle swarm algorithm through series of typical instances. The computational results show the effectiveness and robustness of the algorithm in numerical simulation. It can find the satisfactory solutions with small size population and tiny relative error, even for medium or larger problem instances.
Fuzzy particle swarm algorithmFuzzy rulesParticle swarm algorithmTraveling salesman problem
Yin Liu、Liang Ma
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School of Management, University of Shanghai for Science and Technology, China
Guangzhou(CN)
2011 International Conference on Business Management and Electronic Information
NETL
