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Research on GA operation and application based on processes

机译:基于流程的遗传算法操作与应用研究

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摘要

Genetic algorithm is a type of excellent optimization algorithm only depends on fitness function instead of external information. But because of particularity and complicacy of the problem, its fitness function is often not to be solved. A kind of coding method based on processes is proposed by improving genetic algorithm in full consideration of equipment size, impact strength and process of polymerization, combining with loading characteristic and requirements of airdrop container, which solve the problems of requirement optimization of airdrop container and loading in the course of genetic operation through determining Adaptive genetic algorithm (AGA) of the fitness function by utilizing simulative loading method.
机译:遗传算法是一种优秀的优化算法,仅依赖于适应度函数而不是外部信息。但是由于问题的特殊性和复杂性,它的适应性功能常常不被解决。结合设备尺寸,冲击强度和聚合过程,并结合空投容器的负荷特性和要求,提出一种改进的遗传算法,提出了一种基于过程的编码方法,解决了空投容器和负荷的需求优化问题。通过模拟加载方法确定适应度函数的自适应遗传算法(AGA),在遗传运算过程中进行遗传运算。

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