書誌事項
- タイトル別名
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- Evolutionary Dynamics of Genetic Algorithms on Fitness Landscapes with Neutral Networks-A Case Study of Evolutionary Robotics Problems-
- ニュートラル ネットワーク オ フクム テキオウド ケイカン ニ オケル イデンテキ アルゴリズム ノ シンカ ダイナミクス シンカ ロボティクス デノ ケンショウ
- A Case Study of Evolutionary Robotics Problems
- 進化ロボティクスでの検証
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説明
Neutral networks, which occur in fitness landscapes containing neighboring points of equal fitness, have attracted much research interest in recent years. In our recent papers, we have shown that, in the case of simple test functions, the mutation rate of a genetic algorithm is an important factor for improving the speed at which a population moves along a neutral network. Our results also suggested that the benefits of the variable mutation rate strategy used by the operon-GA increase as the ruggedness of the landscapes increases. In this paper, we conducted a series of computer simulations with evolutionary robotics (ER) problems in order to investigate whether our previous results are applicable to this problem domain. The evolutionary dynamics we observed were consistent with those observed in our previous experiments, confirming that the variable mutation rate strategy is also beneficial to the ER problems.
収録刊行物
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- システム制御情報学会論文誌
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システム制御情報学会論文誌 21 (2), 31-39, 2008
一般社団法人 システム制御情報学会
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詳細情報 詳細情報について
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- CRID
- 1390001205164870016
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- NII論文ID
- 10022000150
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- NII書誌ID
- AN1013280X
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- ISSN
- 2185811X
- 13425668
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- NDL書誌ID
- 9373237
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可
