Automated warehouse is an intricate system of storage, and slotting optimization problems directly affect the efficiency of the Automated Warehouse. To solve the dilemma of location selection of automatic stereo warehouse, a Slotting Optimization model which take the out of storage efficiency and shelf stability of storage as its optimization factors is proposed, the Multi-objective mathematical model of Slotting Optimization is established. According to the actual conditions of Automated Warehouse, with the help of Strategy Set Transformation, Delphi method and the Analytic Hierarchy Process(AHP) are used to determine the weight. And virus combined with genetic algorithm is taken to simulate the optimization model. In the MATLAB software environment, the Multi-objective genetic algorithm for virus is utilized to calculate the model solution. Finally, the results comparison among the simulation of the data before Slotting Optimization, the data after virus combined with genetic algorithm and the data after traditional genetic algorithm indicates that Virus Cooperative Genetic Algorithm(VEGA) can effectively optimize the automation stereoscopic warehouse slotting. It is also a kind of effective way to improve the efficiency of goods out of storage and stability of shelf.
LI Peng-fei, MA Hang
. Virus Based on Cooperative Genetic Algorithm Automated Warehouse Space Optimization Model[J]. Chinese Journal of Management Science, 2017
, 25(5)
: 70
-77
.
DOI: 10.16381/j.cnki.issn1003-207x.2017.05.009
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