Vehicle Routing Problem with Fuzzy Demands and the Particle Swarm Optimization Solution
Management and Service Science（2010）
摘要
A novel real number encoding method of Particle Swarm Optimization (PSO) for Vehicle Routing Problem is proposed. Objective is to solve the vehicle routing problem with fuzzy demands (FVRP), in FVRP, a fuzzy chance constrained program model is designed, based on fuzzy credibility theory. numerical experiments are carried out, and the algorithm is compared with other heuristic methods for the same problem.
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关键词
fuzzy set theory,vehicle routing problem,transportation,particle swarm optimisation,fuzzy possibility,chance constrained program model,real number encoding method,constraint handling,fuzzy credibility theory,fuzzy demands,particle swarm optimization,routing,chromium,credibility theory,indexes,programming model,optimization,computational modeling
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