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...

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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
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Institution: Singapore Management University
Language: English