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模糊需求下转运联盟车辆路径及混沌粒子群优化

田洋¹, 杨皎平², 张丽凤²

(1.辽宁工程技术大学理学院, 阜新 123000;2.渤海大学管理学院, 锦州 121000)

Enterprise Transfer Alliance Vehicle Routing Problem based on Fuzzy Demand and its Chaos Particle Swarm Optimization Algorithm

TIAN Yang¹, YANG Jiao-Ping², ZHANG Li-Feng²

(1.College of Science, Liaoning Technical University, Fuxin 123000, China;2.School of Management, Bohai University, Jinzhou 121000, China)

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本文已被：浏览 1466次下载 2647次
Received:December 31, 2012 Revised:January 28, 2013

中文摘要: 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.

中文关键词: 车辆路径问题模糊需求企业转运联盟粒子群

Abstract: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.

keywords: vehicle routing problem fuzzy demand enterprise transfer alliance particles swarm

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基金项目:辽宁省自然科学基金(201202004);辽宁省教育厅基金(2009B096)

Author Name	Affiliation
TIAN Yang	College of Science, Liaoning Technical University, Fuxin 123000, China
YANG Jiao-Ping	School of Management, Bohai University, Jinzhou 121000, China
ZHANG Li-Feng	School of Management, Bohai University, Jinzhou 121000, China

Author Name	Affiliation
TIAN Yang	College of Science, Liaoning Technical University, Fuxin 123000, China
YANG Jiao-Ping	School of Management, Bohai University, Jinzhou 121000, China
ZHANG Li-Feng	School of Management, Bohai University, Jinzhou 121000, China

引用文本：
田洋,杨皎平,张丽凤.模糊需求下转运联盟车辆路径及混沌粒子群优化.计算机系统应用,2013,22(10):169-174
TIAN Yang,YANG Jiao-Ping,ZHANG Li-Feng.Enterprise Transfer Alliance Vehicle Routing Problem based on Fuzzy Demand and its Chaos Particle Swarm Optimization Algorithm.COMPUTER SYSTEMS APPLICATIONS,2013,22(10):169-174