A Hybrid and colony optimization Algorithm with local search strategies to solve Single Source Capacitated Facility Location Problem

被引：2
|
作者：
Yang Lina [1 ]
Sun Xu [2 ]
Chi Tanhe [1 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
[2] Inst Remote Sensing Applicat, Beijing, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON INDUSTRIAL CONTROL AND ELECTRONICS ENGINEERING (ICICEE) | 2012年
关键词：
Single Source Capacitated Facility Location Problem; Ant Colony Optimization; Local Search;
D O I：
10.1109/ICICEE.2012.30
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Facility location is a complex and non-structural problem that human society usually confronts. A new approach, Hybrid Ant Colony Optimization-Local Search (HACO-LS), is developed to solve Single Source Capacitated Facility Location Problem (SSCFLP), which is treated as a two-layered model. With HACO-LS, the new facility sets and demands' assignmentscan be obtained. This method is tested in the experiment of car delivery center location in BinHai New Area, which proves that HACO-LScan solve SSCFLP effectively.
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页码：83 / 85
页数：3
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