Optimizing Research of Man on Board Automated Storage and Retrieval System Goods Storing and Retrieving Problem

摘要：

This paper bring forward based on immune genetic algorithm to solve man on board automated storage and retrieval system optimized problem, immune genetic algorithm remains the characteristic which is not easy to plunge into local optimization and merge into the basic life immune theory, enhance overall searching efficiency, immune genetic algorithm has faster convergence velocity than traditional genetic algorithm. Experiment simulation result express: the result of immune genetic algorithm is better than traditional genetic algorithm in the circumstance of the same clusters and the same evolution generation. Immune genetic algorithm can shorten storage or retrieval distance in application, and enhance storage or retrieval efficiency.

关键词： immune genetic algorithm local optimization optimal result

作者: Weijun Zhang Qi Liu

作者单位: Computer science department Shenyang institute of aeronautical engineering Shenyang, China Computer science department Shenyang institute of aeronautical engineering Shenyang , China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）