NDLI: Study on hybrid heuristic algorithm for multi-depot vehicle routing problem with hybrid picking-delivery strategy

Content Provider	IEEE Xplore Digital Library
Author	Xiao-Bo Wang Jin-Ying Sun Chun-Yu Ren
Copyright Year	2009
Description	Author affiliation: Building Energy Engineering Center, China Building Design Consultants, China Architecture Design and Research Group, Beijing 100044, China (Jin-Ying Sun) \|\| School of management, Heilongjiang University, Harbin, 150080, China (Xiao-Bo Wang; Chun-Yu Ren)
Abstract	With the rapid development of electronic commerce and logistics distribution, multi-depot vehicle routing problem with backhauls (MDVRPB) as influencing electronic commerce more step development, has been paid more attentions. According to the characteristics of model, hybrid heuristic algorithm is used to get the optimization solution. First of all, use hybrid coding so as to simplify the problem; construct the pertinence of initial solution to enhance the feasibility of solutions. Improved partially matched crossover operators can avoid destroying good gene parts during the course of crossover. According to the traditional genetic algorithm shortcomings of slowly convergent speed, the study adopts the strategy of protecting gene as whole, introduce adopts 2- exchange mutation operator. Secondly, stock elite adopting genetic algorithm with taboo searching algorithm to improve the convergent speed. This algorithm can offer the thought to settle the practical problem in scale. At the same time, it can be known that adopting hybrid picking-delivery strategy can save the distance of distribution route so as to improve economic benefit.
Starting Page	1451
Ending Page	1456
File Size	232118
Page Count	6
File Format	PDF
ISBN	9781424437023
DOI	10.1109/ICMLC.2009.5212344
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heuristic algorithms Vehicles Routing Machine learning algorithms Algorithm design and analysis Electronic commerce Genetic algorithms Machine learning Cybernetics Buildings Hybrid heuristic algorithm Vehicle routing problem with backhauls Stock elite Genetic algorithm Taboo searching algorithm
Content Type	Text
Resource Type	Article

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