根井の標準遺伝距離を用いた適応度景観に含まれるｎｅｕｔｒａｌｉｔｙの推定―進化ロボティクスへの適用

• 片田 喜章

  摂南大学工学部

• 大倉 和博

  神戸大学工学部

書誌事項

タイトル別名

• Estimating the Degree of Neutrality in Fitness Landscapes by the Nei's Standard Genetic Distance-An Application to Evolutionary Robotics
• ネイ ノ ヒョウジュン イデン キョリ オ モチイタ テキオウド ケイカン ニ フクマレル neutrality ノ スイテイ シンカ ロボティクス エ ノ テキヨウ
• An Application to Evolutionary Robotics
• 進化ロボティクスへの適用

抄録

In recent years, not only ruggedness but also neutrality has been recognized as an important feature of a fitness landscape for artificial genetic search. In this paper, we propose the use of the Nei's standard genetic distance, which was originally proposed in population genetics, for estimating the degree of neutrality in fitness landscapes. The characteristics of the Nei's standard genetic distance are shown by applying the standard genetic distance to artificial evolution for tunably neutral NK fitness landscapes. Further investigations are conducted in a complex evolutionary robotics fitness landscape to validate the proposed method. The results show that neural network controllers changing the number of hidden neurons have different levels of neutrality as well as ruggedness in their landscapes. This suggests to us that the Nei's standard genetic distance in natural evolution can be successfully applied to estimating the degree of neutrality in artificial evolution after minor modifications.

収録刊行物

• システム制御情報学会論文誌

  システム制御情報学会論文誌 18 (8), 284-291, 2005

  一般社団法人 システム制御情報学会

キーワード

• fitness landscape
• neutrality
• ruggedness
• genetic algorithms
• evolutionary robotics

詳細情報

• CRID: 1390001205166966784
• NII論文ID: 10016723389
• NII書誌ID: AN1013280X
• DOI: 10.5687/iscie.18.284
• ISSN: 2185811X
• ISSN: 13425668
• NDL書誌ID: 7387545
• Web Site: http://id.ndl.go.jp/bib/7387545
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I7387545
• 本文言語コード: ja
• データソース種別:
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  • NDL
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• 抄録ライセンスフラグ: 使用不可