Research on Multi-objective Optimization of Multi-item Maintenance Material Distribution Problem

doi:10.3969/j.issn.1000-1093.2017.06.019

Abstract

Abstract: A multi-objective optimization model is established for multi-item maintenance material distribution to help the supply centers satisfy the maintenance material demands of troops. In the proposed model, the priority, fairness and efficiency are taken as the multi-objects. An improved genetic algorithm is combined with grey correlation degree method, which can transfer multi-objective problem to single-objective problem. The example verification shows that the best and mean fitness values are reduced by 31.538 5% and 37.371 1%, respectively. The proposed model can be used to reduce the unfairness of multi-item maintenance material distribution, and improve the efficiency of materials supply. Key

Key words: ordnancescienceandtechnology, maintenancematerial, multi-objectiveoptimization, greycorrelationdegree, geneticalgorithm

CLC Number:

YANG Fan， WANG Tie-ning. Research on Multi-objective Optimization of Multi-item Maintenance Material Distribution Problem[J]. Acta Armamentarii, 2017, 38(6): 1186-1191.

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第38卷
第6期2017 年6月兵工学报ACTA
ARMAMENTARIIVol.38No.6Jun.2017

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