题名 |
Fuzzy Multi-Aims Optimization EP Method |
并列篇名 |
演進式規劃模糊多目標最佳化方法 |
DOI |
10.29987/CCUHKJE.201206.0024 |
作者 |
張珩(Heng Chang) |
关键词 |
多目標規劃 ; 演化式規劃 ; 模糊集 ; 饋線重組 ; multi-objective programming ; evolution programming ; fuzzy set ; feeder reconfiguration |
期刊名称 |
華岡工程學報 |
卷期/出版年月 |
29期(2012 / 06 / 01) |
页次 |
151 - 158 |
内容语文 |
英文 |
中文摘要 |
本研究探討多目標最佳化方法,其中結合模糊理論及演進式規劃法則,引入非劣效性概念特徵化多目標最佳化方法之解決方案,利用基於演進式規劃中的模糊滿足條件,規劃最佳化解答。因此,最佳化之目標函數將以模糊集表示,描述目標函數的不確定性。本研究建立一分時性程式以多目標操作條件達成饋線重組之最佳化,藉以解決一電力配置系統之方案。本案結果提出一有效解決多目標最佳化之演算法,並有效率的允許使用於模糊真實大型系統的最佳化方案。 |
英文摘要 |
The purpose of this paper is to address the multi-objective optimization via combined fuzzy satisfied method and evolution programming (E.P.) method. The concept of non-inferiority is employed to characterize a solution of the multi-objective problem. Then, a fuzzy satisfied method based on evolutionary programming is introduced to determine the optimal solution. As a result, the objective functions of the optimization problem are modeled with fuzzy sets to represent their imprecise nature. That also enables us to reduce the inaccuracies in decision-makers' judgments. A time-sharing computer program is implemented, and an application to a multi-objective operation problem in feeder reconfiguration in electric power systems is demonstrated along with the computer outputs. In conclusion, the proposed solution algorithm allows for a more realistic problem formulation efficiently obtained the optimal solution for the tested system with a large search space. |
主题分类 |
基礎與應用科學 >
化學 工程學 > 工程學總論 工程學 > 電機工程 |