We developed Hierarchical Ant Colony Optimization (H-ACO) for solving railway rolling stock planning. H-ACO uses several colonies and allocates them hierarchically. However, it requires a huge amount of computation time for calculation using large number of colonies. In this paper, we implement H-ACO in parallel computation environment with multi-core processor in order to reduce its computation time. The effectiveness of the proposed method is demonstrated through a numerical experiment.
|寄稿の翻訳タイトル||Implementation of Hierarchical Ant Colony Optimization on Multi-core Parallel Computer and Its Performance Evaluation|
|ジャーナル||IEICE technical report|
|出版ステータス||出版済み - 1 21 2014|