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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Fast Genetic Algorithm for Pick-up Path Optimization in the Large Warehouse System
verfasst von : Yongjie Ma, Zhi Li, Wenxia Yun
Erschienen in: Advances in Swarm and Computational Intelligence
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The order-picking processes of fixed shelves in a warehouse system require high speed and efficiency. In this study, a novel fast genetic algorithm was proposed for constrained multi-objective optimization problems. The handling of constraint conditions were distributed to the initial population generation and each genetic process. Combine the constraint conditions and objectives, a new partial-order relation was introduced for comparison of individuals. This novel algorithm was used to optimize the stacker picking path in an Automated Storage/Retrieve System (AS/RS) of a large airport. The simulation results indicates that the proposed algorithm reduces the computational complexity of time and space greatly, and meets the needs of practical engineering of AS/RS optimization control.