Comparison and Simulation of Particle Swarm Optimization and Lagrange Multiplier Method

被引：0

作者：

Zhou, Xuesong ^{[1
]}

Zhang, Bo ^{[1
]}

Ma, Youjie

机构：

[1] Tianjin Univ Technol, Key Res Lab Control Theory & Applicat Complicated, Tianjin 300384, Peoples R China

来源：

PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Particle Swarm Optimization; Newton iterative method; MATLAB; equation root;

D O I：

10.1109/ccdc.2019.8832633

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on the simulation of the social activities of biological groups, the Particle Swarm Optimization algorithm simulates the mutual synergy of group organisms to construct a new intelligent optimization algorithm. This article briefly introduces the Particle Swarm Optimization algorithm and the Lagrange Multiplier Method, and introduces an optimal distribution example of active power in the power system. It is simulated by MATLAB and compared with the Lagrange multiplier method. Compare and draw conclusions.

引用

页码：1210 / 1213

页数：4

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