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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
우리는 스위칭을 통합한 "분배 알고리즘 추정"을 제안합니다. 이 알고리즘을 사용하면 전환 기준에 따라 표준 분포 추정 알고리즘(EDA)에서 유전 알고리즘(GA)으로 또는 그 반대로 전환할 수 있습니다. 이 알고리즘은 기만적인 문제에서 GA 및 EDA보다 더 나은 성능을 보여줍니다.
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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
부
@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},}
부
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 -