In this paper, an optimal loading in multiple containers is considered. An evolutionary approach is proposed by using genetic algorithm and heuristic procedure. The proposed approach gives a loading sequence of packages and a selection sequence of containers to utilize the multiple containers effectively. The genetic algorithm determines the sequence of packages and containers as a pair. Therefore, this approach gives best sequence to determine the loading result. The effectiveness of the proposed approach is compared with other meta-heuristic methods, such as local search and simulated annealing. The result shows that the present approach is superior to other methods.
Citation:
Shigeyuki Takahara, Sadaaki Miyamoto, "An Evolutionary Approach for the Multiple Container Loading Problem," his, pp.227-232, Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005