电力系统发展设计的系统进化算法

J. Tchórzewski, Emil Chyzy
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引用次数: 1

摘要

本文介绍了基于系统控制理论的进化算法的概念和研究成果,即系统进化算法(SAE)。特别关注了进化算法中尚未完全解决的两个要素,即用于创建初始种群的方法和创建鲁棒性(适应度)函数的方法。SEA算法的其他要素,如交叉、突变、选择等,也从系统的角度进行了定义。选取波兰电力系统的一个子系统,使用Java、c++和Matlab三种编程语言进行了计算实验。给出了SAE算法在不同实现下的选择比较结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sistemic Evolutionary Algorithm for Designing the Development of the Electrical Power System
The paper contains the concept and the results of research concerning the evolutionary algorithm, identified based on the systems control theory, which was called the Systemic Evolutionary Algorithm (SAE). Special attention was paid to two elements of evolutionary algorithms, which have not been fully solved yet, i.e. to the methods used to create the initial population and the method of creating the robustness (fitness) function. Other elements of the SEA algorithm, i.a. cross-over, mutation, selection, etc. were also defined from a systemic point of view. Computational experiments were conducted using a selected subsystem of the Polish Electrical Power System and three programming languages: Java, C++ and Matlab. Selected comparative results for the SAE algorithm in different implementations were also presented.
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