Title :
Research on the compound operation optimization problem of AS/RS
Author :
Huang, Yangbo ; Liu, Wanjun ; Ding, Peng ; Liu, Hui
Author_Institution :
Grad. Coll., Liaoning Tech. Univ., Huludao, China
Abstract :
This paper analyzes the process of single operation and compound operation of AS/RS, according to the characteristics of compound operation, constructs an optimized mathematical model based on minimal operating time, and then proposes an effective genetic algorithm to solve the combinatorial sequence of compound operations. Case studies demonstrate the effectiveness of the algorithm for compound operation optimization problem of AS/RS, which can obtain a better optimal solution in a smaller initial population, reduce the operating time of stacker and improve the working efficiency of ASIRS.
Keywords :
genetic algorithms; information retrieval; information storage; automated storage; combinatorial sequence; compound operation optimization problem; genetic algorithm; minimal operating time; optimal solution; optimized mathematical model; retrieval system; Compounds; Automated Storage and Retrieval System (AS/RS); combinatorial optimization; compound operation; genetic algorithm (GA);
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
DOI :
10.1109/BICTA.2010.5645101