模糊需求下转运联盟车辆路径及混沌粒子群优化

摘要

The mathematical model of Enterprise transfer alliance vehicle routing problem based on fuzzy demand is established, and the problem based on fuzzy demand is transformed into a clear demand through the structured element theory. In order to solve this model, the chaos particle swarm optimization algorithm is proposed, this algorithm adds two chaotic transform in classical particle swarm algorithm, it has a good performance by combining particles swarm optimization with the chaotic partial searching.%建立了基于模糊需求的企业间转运联盟车辆路径问题，并基于模糊结构元理论将模糊需求问题转化为清晰需求问题。针对该模型，提出了一种混沌粒子群算法，该算法在经典粒子群算法的基础上融入了两次混沌变换，有效的利用了粒子群算法和混沌算法各自的优势。