Battlefield ammunition storage layout optimization model based on adaptive genetic algorithm

Authors:
Pan Wei;Wang Yunfeng;Diao Huazong
Affiliations:
Electric Detection Department, Shenyang Artillery Academy, Shenyang, China;Electric Detection Department, Shenyang Artillery Academy, Shenyang, China;Electric Detection Department, Shenyang Artillery Academy, Shenyang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

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.