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New Operators for Faster Convergence and Better Solution Quality in Modified Genetic Algorithm.

Authors :
Wang, Lipo
Chen, Ke
Ong, Yew
Chang, Pei-Chann
Wang, Yen-Wen
Liu, Chen-Hao
Source :
Advances in Natural Computation (9783540283256); 2005, p983-991, 9p
Publication Year :
2005

Abstract

The aim of this paper is to study two new forms of genetic operators: duplication and fabrication. Duplication is a reproduce procedure that will reproduce the best fit chromosome from the elite base. The introduction of duplication operator into the modified GA will speed up the convergence rate of the algorithm however the trap into local optimality can be avoided. Fabrication is an artificial procedure used to produce one or several chromosomes by mining gene structures from the elite chromosome base. Statistical inference by job assignment procedure will be applied to produce artificial chromosomes and these artificial chromosomes provides new search directions and new solution spaces for the modified GA to explore. As a result, better solution quality can be achieved when applying this modified GA. Different set of problems will be tested using modified GA by including these two new operators in the procedure. Experimental results show that the new operators are very informative in searching the state space for higher quality of solutions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540283256
Database :
Supplemental Index
Journal :
Advances in Natural Computation (9783540283256)
Publication Type :
Book
Accession number :
32861840
Full Text :
https://doi.org/10.1007/11539117_137