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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.
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on (Volume:1 )
Date of Conference: 12-14 Aug. 2009