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Research on Assembly Sequence Planning of Marine Diesel Engine Based on Improved Genetic Algorithm

机译:基于改进遗传算法的海洋柴油机组装序列规划研究

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That genetic algorithm is applied to the assembly sequence planning of marine diesel engine can improve assembly planning efficiency a lot.The genetic algorithm crossover operator of genetic algorithm is improved.By combining the clashes matrix and priority relationship matrix,the relational-clashes matrix is established.In order to get the assembly sequence which can assembly safely and effectively,but conform to the actual assembly habits as well,the fitness function combines the feasibility of assembly sequence,the rationality of assembly sequence and the number of redirection.The evaluation method based on the general principle of assembly sequence was proposed for the first time.Priority of parts is evaluated according to their barycentric coordinates and precision level.The evaluation method can enrich the evaluation method of assembly sequences and expand the application of intelligent algorithms in the field.After some tests and analysis of the experimental results,the algorithm proved to be convergent and the results are effective.
机译:遗传算法应用于船用柴油发动机的装配序列规划可以提高组装规划效率。遗传算法的遗传算法改进了。由Clashes矩阵和优先级关系矩阵,建立了关系冲突矩阵为了获得能够安全有效地组装的装配序列,而是符合实际的装配习惯,健身功能结合了装配序列的可行性,装配序列的合理性和重定向的数量。基于评估方法首次提出了组装序列的一般原理。根据其等离心坐标和精确水平评估零件的优化。评价方法可以丰富组装序列的评价方法,扩大智能算法在现场的应用。经过一些测试和分析实验结果,该算法M被证明是收敛的,结果是有效的。

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