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METHOD FOR OPTIMIZING GENETIC ALGORITHM AND SYSTEM FOR ANALYZING GENETIC ALGORITHM

机译:遗传算法优化方法及遗传算法分析系统

摘要

PROBLEM TO BE SOLVED: To search an optimum solution in a short time by optimizing parameters such as the copy rate, cross rate and mutation rate of genetic algorithm. SOLUTION: The genetic group of an initial generation is generated (step S210), the degree of adaptivity is respectively evaluated for each gene belonging to this initial generation (step S130), the hamming distance of respective genes of the genes belonging to this generation and having the highest degree of adaptivity is calculated (step S140) and concerning the genetic group of this generation, the distribution of frequency is found on the plane with two axes of the hamming distance and the degree of adaptivity (step S150). Corresponding to this frequency distribution, the parameter of the genetic algorithm is optimized (step S160) and by using the genetic algorithm specified by this parameter, the genetic group of the next generation is generated (step S170).
机译:解决的问题:通过优化遗传算法的复制率,交叉率和变异率等参数,在短时间内寻找最佳解决方案。解决方案:产生初始世代的遗传群(步骤S210),分别评估属于该初始世代的每个基因的适应性程度(步骤S130),属于该世代的基因的各个基因的汉明距离和计算具有最高适应度的步骤(步骤S140),并针对该世代的遗传群体,在具有汉明距离和适应度的两个轴的平面上找到频率分布(步骤S150)。对应于该频率分布,优化遗传算法的参数(步骤S160),并且通过使用由该参数指定的遗传算法,生成下一代的遗传组(步骤S170)。

著录项

  • 公开/公告号JPH09325949A

    专利类型

  • 公开/公告日1997-12-16

    原文格式PDF

  • 申请/专利权人 NISSAN MOTOR CO LTD;

    申请/专利号JP19960141890

  • 发明设计人 NAITO TAKESHI;

    申请日1996-06-04

  • 分类号G06F15/18;F02D41/34;G01M15/00;G06F17/00;G06F17/50;

  • 国家 JP

  • 入库时间 2022-08-22 03:00:00

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