A Study on Enhancing Particle Swarm Optimization with Gradient Information

Autor: Chia-He Liu, 劉家和
Rok vydání: 2009
Druh dokumentu: 學位論文 ; thesis
Popis: 97
This paper proposes an enhanced particle swarm optimization with gradient information (NPSO) for unconstrained optimization. Newton’s method and mutation operation are embedded in the velocity update equation to improve the effect of cognition influence and social influence, respectively. Based on numerous test function taken from the literature, computational results via a variety of experimental study showed that the NPSO approach outperformed the other techniques in terms of solution quality and convergence rate. The new algorithm proves to be extremely effective and efficient at locating best-practice optimal solutions.
Databáze: Networked Digital Library of Theses & Dissertations