Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. Most of the current methods of crossover determine o®spring by using a stochastic approach and without reference to the objective funct...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2010
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/21097/1/FS_2010_53_IR.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!