会议专题

Battlefield Ammunition Storage Layout Optimization Model Based on Adaptive Genetic Algorithm

That battlefield ammunition storage layout is good or bad has much influence to the battle effect, sometimes it may influence the result of the battle. On the basis of analyzing the characteristic of battlefield ammunition storage layout according to military rules, this paper constructs the mathematics model applying multi-objectived decision thinking, then adopts improved genetic algorithm to solve the model, thus acquires the best project of the battlefield ammunition storage layout. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation.

military rules multi-objectived decision genetic algorithm crossover probability mutation probability

Pan Wei Wang Yunfeng Diao Huazong

Electric Detection Department, Shenyang Artillery Academy, Shenyang 110162, China.

国际会议

2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

广西桂林

英文

3952-3957

2009-06-17(万方平台首次上网日期,不代表论文的发表时间)