中件空投集装箱装载与需求优化方案

Research on Loading and Optimization Solution of Airdrop Middling Container Requirement

由于随队投放装备物资种类、大小等复杂性,空降兵战略投送中装载方案一直无法很好地解决。通过对装载问题的认真分析,建立了目标优化函数,利用遗传算法的特性,提出了基于装载过程的适应度算法,并通过特殊的遗传基因操作过程,实现了强约束条件下的中件空投集装箱需求优化解决方案和算法。

Since the complexity of equipments and material with along brigade, such as size or type, the loading plan for airborne troops strategic projection hadn＇t been well solved. By making a careful analysis of loading problem, the object optimization function is established, then the fitness algorithm based on loading processes is proposed by using GA attribute, which realizes the goal of optimization solution and algorithm of middling airdrop container under the condition of strong constraint by using special gene operational process.