DocumentCode :
1607663
Title :
A Hybrid Ant Colony Optimization Algorithm with Local Search Strategies to Solve Single Source Capacitated Facility Location Problem
Author :
Lina, Yang ; Xu, Sun ; Tianhe, Chi
Author_Institution :
Inst. of Remote Sensing Applic., Beijing, China
fYear :
2012
Firstpage :
83
Lastpage :
85
Abstract :
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´ assignments can 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.
Keywords :
ant colony optimisation; facility location; search problems; set theory; strategic planning; BinHai New Area; HACO-LS; SSCFLP; car delivery center location; demands assignments; facility sets; hybrid ant colony optimization algorithm; local search strategies; single source capacitated facility location problem; strategic planning; Industrial control; Ant Colony Optimization; Local Search; Single Source Capacitated Facility Location Problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
Type :
conf
DOI :
10.1109/ICICEE.2012.30
Filename :
6322319
Link To Document :
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