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
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;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6