• Title/Summary/Keyword: 세이빙 휴리스틱

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A Vehicle Routing Problem Which Considers Hard Time Window By Using Hybrid Genetic Algorithm (하이브리드 유전자알고리즘을 이용한 엄격한 시간제약 차량경로문제)

  • Baek, Jung-Gu;Jeon, Geon-Wook
    • Journal of the military operations research society of Korea
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    • v.33 no.2
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    • pp.31-47
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    • 2007
  • 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.