Finding global minima with a new dynamical evolutionary algorithm

A new dynamical evolutionary algorithm (DEA) based on the theory of statistical mechanics is presented. This algorithm is very different from the traditional evolutionary algorithm and the two novel features are the unique of selecting strategy and the determination of individuals that are selected...

Full description

Saved in:
Bibliographic Details
Published in:Wuhan University journal of natural sciences 2002-06, Vol.7 (2), p.157-160
Main Authors: Xiu-fen, Zou, Li-shan, Kang, Yuan-xiang, Li, Yu-ping, Chen
Format: Article
Language:English
Subjects:
Algorithms
Evolutionary algorithms
Global optimization
Statistical analysis
Statistical mechanics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A new dynamical evolutionary algorithm (DEA) based on the theory of statistical mechanics is presented. This algorithm is very different from the traditional evolutionary algorithm and the two novel features are the unique of selecting strategy and the determination of individuals that are selected to crossover and mutate. We use DEA to solve a lot of global optimization problems that are nonlinear, multimodal and multidimensional and obtain satisfactory results.
ISSN:1007-1202
1993-4998
DOI:10.1007/BF02830305