Particle Swarm Optimization Algorithms Based On the Behavior Analyses
碩士 === 國立宜蘭大學 === 電機工程學系碩士班 === 97 === In this thesis, a new behavior analyzed multimodal particle swarm optimization (BAMPSO) algorithm is proposed for not only unimodal problems but multi-modal problems. The main idea is to find the local minima by analyzing the variation of the fitness value when...
Main Authors: | Z. L. Huang, 黃子倫 |
---|---|
Other Authors: | C. W. Tao |
Format: | Others |
Language: | zh-TW |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/54876858152420247148 |
Similar Items
-
The Optimization of Sensors-Distributed in Obstacle Environment Based on Adaptive Particle Swarm Optimization Algorithm
by: Ming-Yuan Huang, et al.
Published: (2017) -
Study of Particle Swarm Optimization Algorithm for Optimal Robot Path Planning
by: You-Yu Huang, et al.
Published: (2013) -
A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization
by: Tao Sun, et al.
Published: (2017-01-01) -
Particle Swarm Optimization Algorithms for Feature Selection
by: Chen, Kun-Huang, et al.
Published: (2011) -
Human Behavior-Based Particle Swarm Optimization
by: Hao Liu, et al.
Published: (2014-01-01)