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RAP via constraint optimization genetic algorithm

机译:说唱通过约束优化遗传算法

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Abstract The goal of the paper is to attain most effective resolution of redundancy allocation problem to optimize system reliability of a rubber plant by scrutiny of results utilizing the COGA with imprecise cost constraint. RAP could be distinguished as non-Poisson problem which calculates system’s reliability assuming some specified constraints. This technique is utilized to allocate the most effective redundancy approach for every part to spice up the reliability of the manufacturing or other systems. It is an attempt to solve RAP for industrial and manufacturing system which has not been carried out by earlier researchers.
机译:摘要这篇论文的目的是达到最大有效解决冗余配置优化系统的可靠性问题利用橡胶工厂审查的结果COGA与不精确的成本约束。杰出non-Poisson问题假设一些计算系统的可靠性指定的约束。分配最有效的冗余方法每一部分的香料生产或其他的可靠性系统。工业和制造业系统没有早由研究人员。

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