Battlefield Material Provision Mission Planning under Uncertain Environment
TONG Sheng
GUO Jian-sheng
ZHENG Ming-fa
ZHANG Lei
Abstract：This paper mainly studies the battlefield material provision mission planning problem under the condition of uncertain environments,and builds up a corresponding uncertain programming model.In con-sideration of the NP-hard nature of the battlefield material provision mission planning problem,the paper introduces an elicitation algorithm,i.e.a new artificial bee colony algorithm.which is modified and is con-structed to be suitable for solving the battlefield material provision mission planning problem.And through the performance comparison of this algorithm with other algorithms,the algorithm is effective.Finally,an application study of 1 3 mission targets is presented and the model is verified.The results show that the op-timal plan under the uncertain environments is more practical.
Keywords：Materials ProvisionMission PlanningUncertain TheoryArtificial Bee Colony Algorithm
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 88-91 )