IEICE TRANSACTIONS on Information
Estimation of Distribution Algorithm Incorporating Switching
Summary :
We propose an "estimation of distribution algorithm" incorporating switching. The algorithm enables switching from the standard estimation of distribution algorithm (EDA) to the genetic algorithm (GA), or vice versa, on the basis of switching criteria. The algorithm shows better performance than GA and EDA in deceptive problems.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.11 pp.3108-3111
- Publication Date
- 2010/11/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.3108
- Type of Manuscript
- LETTER
- Category
- Fundamentals of Information Systems
Authors
Keyword
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Kenji TSUCHIE, Yoshiko HANADA, Seiji MIYOSHI, "Estimation of Distribution Algorithm Incorporating Switching" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 11, pp. 3108-3111, November 2010, doi: 10.1587/transinf.E93.D.3108.
Abstract: We propose an "estimation of distribution algorithm" incorporating switching. The algorithm enables switching from the standard estimation of distribution algorithm (EDA) to the genetic algorithm (GA), or vice versa, on the basis of switching criteria. The algorithm shows better performance than GA and EDA in deceptive problems.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.3108/_p
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@ARTICLE{e93-d_11_3108,
author={Kenji TSUCHIE, Yoshiko HANADA, Seiji MIYOSHI, },
journal={IEICE TRANSACTIONS on Information},
title={Estimation of Distribution Algorithm Incorporating Switching},
year={2010},
volume={E93-D},
number={11},
pages={3108-3111},
abstract={We propose an "estimation of distribution algorithm" incorporating switching. The algorithm enables switching from the standard estimation of distribution algorithm (EDA) to the genetic algorithm (GA), or vice versa, on the basis of switching criteria. The algorithm shows better performance than GA and EDA in deceptive problems.},
keywords={},
doi={10.1587/transinf.E93.D.3108},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - Estimation of Distribution Algorithm Incorporating Switching
T2 - IEICE TRANSACTIONS on Information
SP - 3108
EP - 3111
AU - Kenji TSUCHIE
AU - Yoshiko HANADA
AU - Seiji MIYOSHI
PY - 2010
DO - 10.1587/transinf.E93.D.3108
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2010
AB - We propose an "estimation of distribution algorithm" incorporating switching. The algorithm enables switching from the standard estimation of distribution algorithm (EDA) to the genetic algorithm (GA), or vice versa, on the basis of switching criteria. The algorithm shows better performance than GA and EDA in deceptive problems.
ER -
English
