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  HomeContents of Chinese Journal of Mechanical Engineering 2004 No.6NEW HYBRID GENETIC ALGORITHM SOLVING THE ORDER-PICKING OPTIMIZATION PROBLEM OF A MULTI-CAROUSEL SYSTEM
NEW HYBRID GENETIC ALGORITHM SOLVING THE

ORDER-PICKING OPTIMIZATION PROBLEM OF

A MULTI-CAROUSEL SYSTEM

 

Zhang Pan  Tian Guohui  Jia Lei  Li Xiaolei  Lu Fei

(School of Control Science and Engineering, Shandong University, Jinan 250061)

 

Abstract: The mathematical model of the single pick-platform & multi-carousel system is given, and the order-picking optimization problem of it is analyzed. According to the character that the optimal picking-order of the materials in the single carousel will come forth of the optimal order of the whole assignment, a new layer-based neighborhood and its local search algorithm are presented. Then combined them with genetic algorithm, a new hybrid genetic algorithm solving the single pick-platform MCS-OOP is designed. Finally, a case of study in MCS-OOP using the new algorithm is described and analyzed. Experimental results verify that the optimum solutions are quickly and steadily achieved and the requirements of work are fully satisfied.

Key words:  Automated warehouse  Carousel system   Hybrid genetic algorithm  Layer-based neighborhood  Local search

CLC No: TP18

国家自然科学基金(60104009)和山东省自然科学基金(Z2000G01)资助项目. Received 20030603, received in revised form 20030910

 
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