航空集装板组板优化问题的混合遗传算法  

Study on Hybrid Genetic Algorithm to Solve Aviation Pallet-building Optimization Problem

作　　者：孙世峰[1] 刘永军[1] 张俊[1] 

机构地区：[1]军事交通学院,天津300161

出　　处：《物流技术》2016年第3期174-176,共3页Logistics Technology

基　　金：国家自然科学基金资助项目(70371186)

摘　　要：在满足航空集装板组板优化问题的约束条件下,结合顺序及摆放方向的因素,提出了一种混合编码的遗传算法,构造了体积利用率和载重利用率共存的多目标适应度函数,并利用AForge.NET开源框架实现了遗传算法的编程。In this paper, upon the precondition of satisfying the constraints in the aviation pallet-building optimization problem, and in connection with the sequential and orientation considerations, we proposed a hybrid coding based genetic algorithm, established the suitability function aimed at both bulk utilization and load utilization, and at the end, used the AForge.NET open- source framework to program the genetic algorithm proposed in this paper.

关 键 词：航空集装板 空间搜索 遗传算法 组板优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] F562[自动化与计算机技术—控制科学与工程]