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运用改进遗传算法的输电网规划
引用本文:林娇燕.运用改进遗传算法的输电网规划[J].华南理工大学学报(自然科学版),2002,30(8):36-39.
作者姓名:林娇燕
作者单位:广东省水利电力职业技术学院,数学系,广东,广州,510610
摘    要:遗传算法对许多问题是有效的,但普通遗传算法只能保证全局最优解的出现而不能保证每次都收敛于全局最优解,其原因是在搜索过程中出现的全局最优解不能保留下来,针对这一问题,本文将改进自适应代沟方式的遗传算法用于输电网规划中,一方面保证了计算结果有多个解可供选择,另一方面加快了搜索速度,提出了搜索性能,算例表明了这种改进方法的优越性。

关 键 词:改进遗传算法  自适应代沟  输电网规划
文章编号:1000-565X(2002)08-0036-04
修稿时间:2002年6月26日

Transmission Network Planning Using an Improved Genetic Algorithm
Lin Jiao-yan.Transmission Network Planning Using an Improved Genetic Algorithm[J].Journal of South China University of Technology(Natural Science Edition),2002,30(8):36-39.
Authors:Lin Jiao-yan
Abstract:Genetic algorithm (GA) is an efficient method for many practical problems. However, common GA can guarantee the appearance of global optimized solution but can not guarantee convergence to global optimized solution every times, since appeared global optimized solution can not be reserved in searching procedure. To counter this problem,in this paper,the improved strategy adaptive keeping score algorithm is employed to do transmission network planning, which not only assure multiple solutions to be selected but also accelerate the calculating speed and strengthen the searching performances. The calculating example shows the advantage of the improved genetic algorithm presented in this paper.
Keywords:improved genetic algorithm  adaptive keeping score  transmission network planning
本文献已被 CNKI 维普 万方数据 等数据库收录!
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