IE interfaces (산업공학)

Korean Institute of Industrial Engineers (대한산업공학회)
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A Heterogeneous VRP to Minimize the Transportation Costs Using Genetic Algorithm

유전자 알고리듬을 이용한 운행비용 최소화 다용량 차량경로문제

  • Ym, Mu-Kyun (Department of Operations Research, Korea National Defense University) ;
  • Jeon, Geon-Wook (Department of Operations Research, Korea National Defense University)
  • 임무균 (국방대학교 운영분석학과) ;
  • 전건욱 (국방대학교 운영분석학과)
  • Received : 20070100
  • Accepted : 20070500
  • Published : 2007.06.30
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Abstract

A heterogeneous VRP which considers various capacities, fixed and variable costs was suggested in this study. The transportation cost for vehicle is composed of its fixed and variable costs incurred proportionately to the travel distance. The main objective is to minimize the total sum of transportation costs. A mathematical programming model was suggested for this purpose and it gives an optimal solution by using OPL-STUDIO (ILOG CPLEX). A genetic algorithm which considers improvement of an initial solution, new fitness function with weighted cost and distance rates, and flexible mutation rate for escaping local solution was also suggested. The suggested algorithm was compared with the results of a tabu search and sweeping method by Taillard and Lee, respectively. The suggested algorithm gives better solutions rather than existing algorithms.

Keywords

References

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