Meta-heuristic Method for the Single Source Capacitated Facility Location Problem

물류 센터 위치 선정 및 대리점 할당 모형에 대한 휴리스틱 해법

  • 석상문 (특허청 정보심사과) ;
  • 이상욱 (목원대학교 정보통신공학과)
  • Received : 2010.07.06
  • Accepted : 2010.09.08
  • Published : 2010.09.28


The facility location problem is one of the traditional optimization problems. In this paper, we deal with the single source capacitated facility location problem (SSCFLP) and it is known as an NP-hard problem. Thus, it seems to be natural to use a heuristic approach such as evolutionary algorithms for solving the SSCFLP. This paper introduces a new efficient evolutionary algorithm for the SSCFLP. The proposed algorithm is devised by incorporating a general adaptive link adjustment evolutionary algorithm and three heuristic local search methods. Finally we compare the proposed algorithm with the previous algorithms and show the proposed algorithm finds optimum solutions at almost all middle size test instances and very stable solutions at larger size test instances.


Single Source Capacitated Location Problem;Evolutionary Algorithm;Heuristic Local Search Algorithm


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