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A Vehicle Routing Problem Which Considers Hard Time Window By Using Hybrid Genetic Algorithm  

Baek, Jung-Gu (국군수송사령부 항만운영단)
Jeon, Geon-Wook (국방대학교 국방관리대학원 운영분석)
Publication Information
Journal of the military operations research society of Korea / v.33, no.2, 2007 , pp. 31-47 More about this Journal
Abstract
The main purpose of this study is to find out the best solution of the vehicle routing problem with hard time window by using both genetic algorithm and heuristic. A mathematical programming model was also suggested in the study. The suggested mathematical programming model gives an optimal solution by using ILOG-CPLEX. This study also suggests a hybrid genetic algorithm which considers the improvement of generation for an initial solution by savings heuristic and two heuristic processes. Two heuristic processes consists of 2-opt and Or-opt. Hybrid genetic algorithm is also compared with existing problems suggested by Solomon. We found better solutions rather than the existing genetic algorithm.
Keywords
hybrid genetic algorithm; vehicle routing problem; saving heuristic; 2-opt; Or-opt;
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Times Cited By KSCI : 1  (Citation Analysis)
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