文章基本信息

标题：A Matheuristic Approach Combining Local Search and Mathematical Programming
本地全文：下载
作者：Carolina Lagos ; Guillermo Guerrero ; Enrique Cabrera 等
期刊名称：Scientific Programming
印刷版ISSN：1058-9244
出版年度：2016
卷号：2016
DOI：10.1155/2016/1506084
出版社：Hindawi Publishing Corporation
摘要：A novel matheuristic approach is presented and tested on a well-known optimisation problem, namely, capacitated facility location problem (CFLP). The algorithm combines local search and mathematical programming. While the local search algorithm is used to select a subset of promising facilities, mathematical programming strategies are used to solve the subproblem to optimality. Proposed local search is influenced by instance-specific information such as installation cost and the distance between customers and facilities. The algorithm is tested on large instances of the CFLP, where neither local search nor mathematical programming is able to find good quality solutions within acceptable computational times. Our approach is shown to be a very competitive alternative to solve large-scale instances for the CFLP.