Local Information of Fitness Landscape Obtained by Paired Comparison-Based Memetic Search for Interactive Differential Evolution - 九大コレクション | 九州大学附属図書館

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＜会議発表論文＞
Local Information of Fitness Landscape Obtained by Paired Comparison-Based Memetic Search for Interactive Differential Evolution

作成者	作成者名 Pei, Yan 裴, 岩所属機関所属機関名 Computer Science Division, Universally of Aizu 会津大学コンピュータサイエンス部門
作成者	著者識別子 K002333 0000-0002-1431-9472 作成者名 Takagi, Hideyuki 髙木, 英行所属機関所属機関名 Faculty of Design, Kyushu University 九州大学大学院芸術工学研究院
本文言語	英語
出版者	IEEE
発行日	2015-05-25
収録物名	IEEE Congress on Evolutionary Computation
巻	2015
開始ページ	2215
終了ページ	2221
出版タイプ	Accepted Manuscript
アクセス権	open access
関連DOI	Proceedings, 2015 IEEE Congress on Evolutionary Computation (CEC)
関連DOI	https://doi.org/10.1109/CEC.2015.7257158
関連URI	https://doi.org/10.1109/CEC.2015.7257158
関連情報	Proceedings, 2015 IEEE Congress on Evolutionary Computation (CEC)
関連情報	https://doi.org/10.1109/CEC.2015.7257158
概要	We propose a triple comparison-based interactive differential evolution (IDE) algorithm. The comparison of target vector and trail vector supports a local fitness landscape for IDE algorithm to conduc...t a memetic search. Besides target vector and trail vector in canonical IDE algorithm framework, we conduct a memetic search around whichever is the vector with better fitness. We use a random number from a normal distribution generator or a uniform distribution generator to perturb the vector for generating a third vector. By comparing the target vector, the trail vector and the third vector, we implement a triple comparison mechanism in IDE algorithm. A Gaussian mixture model is applied as a pseudo IDE user in our evaluation. We compare our proposal with canonical IDE and triple comparison-based IDE implemented by opposite-based learning, and apply several statistical test to investigate the significance of our proposed algorithm. From the evaluation results, our proposed triple comparison-based IDE algorithm shows significantly better performance optimization. We also investigate potential issues arising from our proposal, and discuss some open topics and future opportunities.続きを見る
目次	Ⅰ.INTRODUCTION Ⅱ.INTERACTIVE DIFFERENTIAL EVOLUTION AND MULTIPLE COMPARISON MECHANISM FOR HUMAN EVALUATION Ⅲ.MEMETIC SEARCH IN INTERACTIVE DIFFERENTIAL EVOLUTION FOR IMPLEMENTING A NEW TRIPLE COMPARISON MECHANISM Ⅳ.OPTIMIZATION EVALUATION Ⅴ.DISCUSSION Ⅵ.CONCLUSION AND FUTURE WORK

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詳細

レコードID	1808907
査読有無	査読無
ISSN	1089-778X
ISBN	978-1-4799-7492-4
DOI	10.1109/CEC.2015.7257158
注記	2015 IEEE Congress on Evolutionary Computation (CEC) : 25-28 May 2015 : Sendai, Japan
登録日	2017.06.14
更新日	2021.10.06