Parameter Selection in Genetic Algorithms

In this study, we provide a new taxonomy of parameters of genetic algorithms (GA), structural and numerical parameters, and analyze the effect of numerical parameters on the performance of GA based simulation optimization applications with experimental design techniques. Appropriate levels of each p...

Full description

Saved in:
Bibliographic Details
Main Authors: BOYABATLI, Onur, SABUNCUOGLU, Ihsan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
Subjects:
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/841
https://ink.library.smu.edu.sg/context/lkcsb_research/article/1840/viewcontent/P409090.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Similar Items