Cooperative Learning Based Hybrid Evolutionary Algorithms for Neural Fuzzy System Design and Optimization of Multi-funnel Functions
博士 === 國立交通大學 === 電控工程研究所 === 100 === In this dissertation, we mainly focus on researching the cooperative behavior of evolutionary algorithms. Algorithms discussed in this dissertation include genetic algorithm (GA), particle swarm optimization (PSO) and evolution strategy with covariance matrix ad...
Main Authors: | Cheng, Yi-Chang, 鄭逸章 |
---|---|
Other Authors: | Lin, Sheng-Fuu |
Format: | Others |
Language: | en_US |
Published: |
2012
|
Online Access: | http://ndltd.ncl.edu.tw/handle/42477607448787537225 |
Similar Items
-
A Novel Hybrid Evolutionary Algorithm for Dynamic Fuzzy-neural Systems Design
by: Yu-Chia Lee, et al.
Published: (2010) -
Twistor inspired methods in perturbative field theory and fuzzy funnels
by: McNamara, Simon Richard
Published: (2006) -
Funnel Vision
by: Grainger, David
Published: (2008) -
A Hybrid Evolutionary Algorithm for Multi-Objective Optimization of Synthesis Gas Production
by: Hsuan-Hung Hsin, et al.
Published: (2014) -
A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm
by: Enrique Gabriel Baquela, et al.
Published: (2019-01-01)