Analysis of Changes Occurring to Interactive Evolutionary Computation Users Through Continuous Task Execution
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- Take Kazuto
- Kyushu Institute of technology
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- Onishi Kei
- Kyushu Institute of technology
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- Fukumoto Makoto
- Fukuoka Institute of Technology
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- Osaki Miho
- Doshisha University
Bibliographic Information
- Other Title
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- インタラクティブ進化計算の同一タスクを連続実行するユーザに起こる変化の分析
- インタラクティブ シンカ ケイサン ノ ドウイツ タスク オ レンゾク ジッコウ スル ユーザ ニ オコル ヘンカ ノ ブンセキ
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Abstract
<p>Interactive evolutionary computation (IEC) is one type of evolutionary computation which includes a human user as an evaluation system. When a human as an evaluator repeats evaluation of an individual (solution candidate), he/she could be aware of his/her preference more deeply. Also, if we can reveal features of genotypes related to the awareness, it would be possible to produce better individuals including the features for him/her. In the paper we investigate if a person recognizes his/her preference well when he/she conducts an independent run for a given IEC task sequentially multiple times. We focus on mutual information of a pair of loci (positions on an individual) as the feature. The results show that most people can be aware of their preference well through sequential multiple runs and the feature corresponds to the awareness well.</p>
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 37 (0), 98-103, 2021
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390853752269005440
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- NII Article ID
- 130008143697
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 031711482
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed