|
|
Digital Library of the
European Council for Modelling and Simulation |
|
Title: |
An Alternative to Random Generation of the Initial Population
for Genetic Algorithms |
|
Authors: |
Shane Lee, Hefin Rowlands |
|
Published in:
|
(2006).ECMS
2006 Proceedings edited by: W. Borutzky, A. Orsoni, R. Zobel. European
Council for Modeling and Simulation. doi:10.7148/2006 ISBN:
0-9553018-0-7 20th
European Conference on Modelling and Simulation, Bonn,
May 28-31, 2006 |
|
Citation
format: |
Lee, S., & Rowlands,
H. (2006). An Alternative to Random Generation of the Initial Population for
Genetic Algorithms. ECMS 2006 Proceedings edited by: W. Borutzky,
A. Orsoni, R. Zobel
(pp. 85-89). European Council for Modeling and Simulation. doi:10.7148/2006-0085 |
|
DOI: |
http://dx.doi.org/10.7148/2006-0085 |
|
Abstract: |
An alternative
to the traditional random method of generating the initial population of
genetic algorithms is introduced. The orthogonal arrays of the Taguchi method
are used to create a population of chromosomes. The performance of these populations
is compared empirically with populations created in the conventional random
way. Just one test function is consider here which adequately illustrates the
strengths and weaknesses of the new techniques The addition of Gaussian noise
to the new initialization routine is shown to further improve the results. |
|
Full
text: |
|
