Particle Swarm Optimization for Solving Multimodal Functions and Its Applications
| Autor: | Yen Chen Chen, 陳彥成 |
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| Rok vydání: | 2008 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 96 The main purpose of this thesis is to search the global optimal solution for multimodal functions by using the particle swarm optimization (PSO) algorithm. Compared to the existing PSO algorithms, a novel mechanism of randomly updating personal best is proposed such that the global search capability can be enhanced. Typical benchmark functions, such as Sphere, Rastrigri and Griewank, are used to verify the superiority of the proposed method. In addition, applications on an automatic voltage regulation system and the fractional-order PID controller design for induction motors are investigated. Simulation results illustrate that, with the comparison of other PSO algorithms, the presented PSO algorithm can provide better control performance in the aspect of maximum overshoot and integral absolute error. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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