基于遗传算法的电力系统模式优化

B. Pulatov
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引用次数: 0

摘要

本文讨论了基于遗传算法求解优化问题的若干问题。迄今为止,遗传算法用于解决各种问题。其中包括最短路径搜索、逼近、数据过滤等。特别是,正在审查有关使用遗传算法来解决优化电力系统模式的问题的数据。想象一种用于发展数学模型的算法,它包括发展染色体的结构,创造一个开始的种群,为种群创造一个指导力,等等。除了表示,所选择的结构应该考虑到所期望的解决方案的所有特征和限制,以及交叉和变异算法的实现直接取决于其选择的事实。为了解决优化问题,给出了遗传算法的框图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OPTIMIZATION OF MODES OF ELECTR POWER SYSTEMS BY GENETIC ALGOROTHMS
In article discusses issues for solving optimization problems based on the use of genetic algorithms. To date, the genetic use algorithm for solving various problems. Which includes the shortest path search, approximation, data filtering and others. In particular, data is being examined regarding the use of a genetic algorithm to solve problems of optimizing the modes of electric power systems. Imagine an algorithm for developing the development of mathematical models, which includes developing the structure of the chromosome, creating a started population, creating a directing force for the population, etc. As well as the presentation, the selected structure should take into account all the features and limitations imposed on the desired solution, as well as the fact that the implementation of crossоver and mutation algorithms directly depends on its choice. To solve optimization problems, a block diagram of the genetic algorithm is given.
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