Application of gravity vectors and moving vectors for the acceleration of both differential evolution and interactive differential evolution

研究成果: 著書/レポートタイプへの貢献会議での発言

3 引用 (Scopus)

抄録

We propose and evaluate two methods for accelerating differential evolution and interactive differential evolution (IDE). The first acceleration method, which we call DE/gravity, aims to realize performance similar to that of paired-comparison-based IDE/best while removing the requirement that the IDE user must choose the best individual among all displayed individuals. The second acceleration method generates not only a conventional trial vector but also a second and third trial vector. It calculates a moving average vector, X moving, for the population between generations, and compares a given target vector with the three trial vectors of a conventional trial vector, a target vector + Xmoving, and a trial vector + Xmoving, and uses the best one among the four vectors as offspring in the next generation. We evaluate these acceleration methods and a conventional method by applying them to Gaussian mixture models and demonstrate the effectiveness of our proposed methods.

元の言語英語
ホスト出版物のタイトルProceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011
ページ287-290
ページ数4
DOI
出版物ステータス出版済み - 2011
イベント5th International Conference on Genetic and Evolutionary Computing, ICGEC2011 - Xiamen, 中国
継続期間: 8 29 20119 1 2011

その他

その他5th International Conference on Genetic and Evolutionary Computing, ICGEC2011
中国
Xiamen
期間8/29/119/1/11

Fingerprint

Gravitation

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications

これを引用

Funaki, R., & Takagi, H. (2011). Application of gravity vectors and moving vectors for the acceleration of both differential evolution and interactive differential evolution. : Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011 (pp. 287-290). [6042782] https://doi.org/10.1109/ICGEC.2011.71

Application of gravity vectors and moving vectors for the acceleration of both differential evolution and interactive differential evolution. / Funaki, Ryohei; Takagi, Hideyuki.

Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011. 2011. p. 287-290 6042782.

研究成果: 著書/レポートタイプへの貢献会議での発言

Funaki, R & Takagi, H 2011, Application of gravity vectors and moving vectors for the acceleration of both differential evolution and interactive differential evolution. : Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011., 6042782, pp. 287-290, 5th International Conference on Genetic and Evolutionary Computing, ICGEC2011, Xiamen, 中国, 8/29/11. https://doi.org/10.1109/ICGEC.2011.71
Funaki R, Takagi H. Application of gravity vectors and moving vectors for the acceleration of both differential evolution and interactive differential evolution. : Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011. 2011. p. 287-290. 6042782 https://doi.org/10.1109/ICGEC.2011.71
Funaki, Ryohei ; Takagi, Hideyuki. / Application of gravity vectors and moving vectors for the acceleration of both differential evolution and interactive differential evolution. Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011. 2011. pp. 287-290
@inproceedings{01d868d04d4845a9a4185a25f7ec5afc,
title = "Application of gravity vectors and moving vectors for the acceleration of both differential evolution and interactive differential evolution",
abstract = "We propose and evaluate two methods for accelerating differential evolution and interactive differential evolution (IDE). The first acceleration method, which we call DE/gravity, aims to realize performance similar to that of paired-comparison-based IDE/best while removing the requirement that the IDE user must choose the best individual among all displayed individuals. The second acceleration method generates not only a conventional trial vector but also a second and third trial vector. It calculates a moving average vector, X moving, for the population between generations, and compares a given target vector with the three trial vectors of a conventional trial vector, a target vector + Xmoving, and a trial vector + Xmoving, and uses the best one among the four vectors as offspring in the next generation. We evaluate these acceleration methods and a conventional method by applying them to Gaussian mixture models and demonstrate the effectiveness of our proposed methods.",
author = "Ryohei Funaki and Hideyuki Takagi",
year = "2011",
doi = "10.1109/ICGEC.2011.71",
language = "English",
isbn = "9780769544496",
pages = "287--290",
booktitle = "Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011",

}

TY - GEN

T1 - Application of gravity vectors and moving vectors for the acceleration of both differential evolution and interactive differential evolution

AU - Funaki, Ryohei

AU - Takagi, Hideyuki

PY - 2011

Y1 - 2011

N2 - We propose and evaluate two methods for accelerating differential evolution and interactive differential evolution (IDE). The first acceleration method, which we call DE/gravity, aims to realize performance similar to that of paired-comparison-based IDE/best while removing the requirement that the IDE user must choose the best individual among all displayed individuals. The second acceleration method generates not only a conventional trial vector but also a second and third trial vector. It calculates a moving average vector, X moving, for the population between generations, and compares a given target vector with the three trial vectors of a conventional trial vector, a target vector + Xmoving, and a trial vector + Xmoving, and uses the best one among the four vectors as offspring in the next generation. We evaluate these acceleration methods and a conventional method by applying them to Gaussian mixture models and demonstrate the effectiveness of our proposed methods.

AB - We propose and evaluate two methods for accelerating differential evolution and interactive differential evolution (IDE). The first acceleration method, which we call DE/gravity, aims to realize performance similar to that of paired-comparison-based IDE/best while removing the requirement that the IDE user must choose the best individual among all displayed individuals. The second acceleration method generates not only a conventional trial vector but also a second and third trial vector. It calculates a moving average vector, X moving, for the population between generations, and compares a given target vector with the three trial vectors of a conventional trial vector, a target vector + Xmoving, and a trial vector + Xmoving, and uses the best one among the four vectors as offspring in the next generation. We evaluate these acceleration methods and a conventional method by applying them to Gaussian mixture models and demonstrate the effectiveness of our proposed methods.

UR - http://www.scopus.com/inward/record.url?scp=80455141514&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80455141514&partnerID=8YFLogxK

U2 - 10.1109/ICGEC.2011.71

DO - 10.1109/ICGEC.2011.71

M3 - Conference contribution

SN - 9780769544496

SP - 287

EP - 290

BT - Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011

ER -