Title :
Study on single and mixed fleet strategy for single-depot vehicle routing problem with backhauls
Author :
Ren, Chun-yu ; Wang, Xiao-bo
Author_Institution :
Sch. of Inf. Sci. & Technol., Heilongjiang Univ., Harbin, China
Abstract :
According to the individual and various demands of customers, establish single and mixed fleet single-depot vehicle routing problem with backhauls model. A hybrid heuristic algorithm is proposed to solving the problem, which combines the advantages of genetic algorithm and tabu search algorithm. Firstly, hybrid genetic algorithm is used to get the initialization solution. Namely, use natural number coding so as to simplify the problem; retain the best selection so as to guard the diversity of group, use essence cluster so as to generate more excellent chromosome. Secondly, the taboo searching algorithm is applied to optimizing the initialization solution, the best of which is taken by genetic algorithm. Consequently, the convergent speed and searching efficiency of algorithm are improved. Finally, the emulation and calculation prove that the hybrid heuristic algorithm is effective.
Keywords :
genetic algorithms; problem solving; search problems; transportation; vehicles; backhauls model; customer demand; genetic algorithm; hybrid heuristic algorithm; mixed fleet strategy; natural number coding; problem solving; single depot vehicle routing problem; tabu search algorithm; Algorithm design and analysis; Biological cells; Heuristic algorithms; Loading; Routing; Vehicles; Backhauls; Hybrid heuristic algorithm; Mixed fleet strategy; Single-depot vehicle routing problem; Taboo searching algorithm;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580804