DocumentCode
2106899
Title
Hybrid binary ant colony algorithm for container loading problem
Author
Yuan Junliang ; Xiong Weiqing ; Jiang Baochuan
Author_Institution
Inst. of Electron. Commerce, Ningbo, China
fYear
2010
fDate
29-31 July 2010
Firstpage
5247
Lastpage
5251
Abstract
Container loading problem with multi-constraints is a complicated combinatorial optimization problem. It´s a NP-hard problem. In this paper, a trifurcate tree of space is designed according to the trait of this problem and available space is divided by the strategy of trifurcate tree. Binary ant colony algorithm combining heuristics is proposed to solve the container loading problem. First, using binary ant colony algorithm determine the set of preparatory loading goods. Then, using heuristics determine the priority of the goods and an effective bin-packing algorithm is given. Results of the experiment show the feasibility and effectiveness of the proposed algorithm.
Keywords
bin packing; containers; goods distribution; loading; optimisation; trees (mathematics); NP hard problem; bin packing algorithm; combinatorial optimization problem; container loading problem; hybrid binary ant colony algorithm; trifurcate tree; Algorithm design and analysis; Containers; Electronic mail; Europe; Heuristic algorithms; Loading; Manganese; Binary Ant Colony Algorithm; Container Loading; Heuristic; Trifurcate Tree;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573398
Link To Document