The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Propomos um "algoritmo de estimativa de distribuição" incorporando comutação. O algoritmo permite a mudança do algoritmo padrão de estimativa de distribuição (EDA) para o algoritmo genético (GA), ou vice-versa, com base em critérios de mudança. O algoritmo apresenta melhor desempenho que GA e EDA em problemas enganosos.
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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},}
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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 -