High voltage insulator numerical optimization method based on small population real-coded genetic algorithm
A high-voltage insulator and genetic algorithm technology, applied in the field of numerical optimization of high-voltage insulators, can solve problems such as difficult to optimize, reduce insulator insulation performance, affect insulator electric field distribution, etc., achieve reasonable structure, small population size, and save optimization time.
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[0039] In order to make the structure and advantages of the present invention clearer, the structure of the present invention will be further described below in conjunction with the accompanying drawings.
[0040] The invention provides a numerical optimization method for high-voltage insulators based on a small population real number genetic algorithm, such as figure 1 shown, including:
[0041] 11. Niche genetic algorithm based on shared function to adjust the fitness of each individual in the group;
[0042] 12. Based on the obtained fitness value, the reverse selection operator is used to solve the problem of the minimum value;
[0043] 13. Use the Euclidean distance between individuals to guide the cross-matching and obtain the parent selection operator;
[0044] 14. Based on the obtained parent selection operator, the crossover algorithm containing the amplification factor is modified to obtain a new crossover algorithm;
[0045] 15. Modify the mutation operator in th...
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