A Study of the Paralleled Hybrid Multilevel Genetic Algorithms for Structural Optimization
碩士 === 國立中山大學 === 機械工程學系 === 87 === The purpose of this study is to develop a paralleled and multilevel technique in the traditional genetic algorithms in order to establish a faster and more efficient new method, distributed hybrid multilevel genetic algorithm. Distributed genetic algori...
Main Authors: | Wong,Jar-Ching, 翁家慶 |
---|---|
Other Authors: | Wu,Shyue-Jian |
Format: | Others |
Language: | zh-TW |
Published: |
1999
|
Online Access: | http://ndltd.ncl.edu.tw/handle/68475733553470665431 |
Similar Items
-
A Study of the Parallel Hybrid Multilevel Genetic Algorithms for Geometrically Nonlinear Structural Optimization
by: Jun-Wei Liang, et al.
Published: (2000) -
A Study of Distributed Hybrid Multilevel Genetic Algorithms for Structural Optimization
by: CHU CHIH WEI, et al.
Published: (1998) -
Multilevel algorithms for the optimization of structured problems
by: Ho, Chinpang
Published: (2016) -
A Parameter Matching Method of the Parallel Hydraulic Hybrid Excavator Optimized with Genetic Algorithm
by: Xiaoliang Lai, et al.
Published: (2013-01-01) -
Applications of the genetic algorithm for structural optimization
by: WENG,QI-GUANG, et al.
Published: (1991)