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带模糊预约时间的车辆路径问题的多目标禁忌有哪些信誉好的足球投注网站算法_王君
DOI ：10.13196/j.cims.2011.04.188.wangj.001
17 4 计算机集成制造系统 Vol. 17 No.4
2 0 1 1 4 Computer Integrated Manufacturing Systems Apr. 2 0 1 1
: 100 - 5911( 2011) 04 - 0858 - 09
,
( , 300072)
: ,
, Pareto
, 2-Opt
Pareto Pareto , Pareto Solomon bench-
mark , Ò ,
: ; ; ; Pareto ;
: N945. 25; TP29 : A
Multi-objective tabu search algorithm for vehicle routing problem with fuzzy due-time
WA NG J un, L I Bo
( College of Management and Economics, Tianjin University, Tianjin 300072, China)
Abstract: To optimize vehicle routing problem w ith fuzzy due-time, a new method to measure and calculate the maxi-
mum satisfaction w as proposed by using fuzzy event. A multi-objective mathematical programming model was de-
signed, and a multi-objective tabu search algorithm to solve Pareto optimal solutions w as proposed. Initial solutions
were generated by random vehicle loading method, w hich w ere put into candidate solution pool. And the neighbor-
hood search w as carried out based on insertion and 2-Opt feasible neighborhoods. Each Pareto solution in the pool
was optimized by parallel tabu search. Compared to the Nondominated Sorting Genetic Algorithm II ( NSGA-Ò ) ,
the effectiveness of the proposed method w as verified by computational experiments on Solomon benchmarks.
Key words: fuzzy due-time; vehicle routing problem; multi-objective tabu search; Pareto optimal solution;
feasible neighborhood
,
0
V RP ( V RP w ith Fuzzy Due-
( Vehicle Routing
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