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Titlebook: Genetic Programming; 17th European Confer Miguel Nicolau,Krzysztof Krawiec,Kevin Sim Conference proceedings 2014 Springer-Verlag Berlin Hei

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書目名稱Genetic Programming
副標(biāo)題17th European Confer
編輯Miguel Nicolau,Krzysztof Krawiec,Kevin Sim
視頻videohttp://file.papertrans.cn/383/382594/382594.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Genetic Programming; 17th European Confer Miguel Nicolau,Krzysztof Krawiec,Kevin Sim Conference proceedings 2014 Springer-Verlag Berlin Hei
描述.The book constitutes the refereed proceedings of the 17th European Conference on Genetic Programming, Euro GP 2014, held in Grenada, Spain, in April 2014 co-located with the Evo*2014 events, Evo BIO, Evo COP, Evo MUSART and Evo Applications..The 15 revised full papers presented together with 5 poster papers were carefully reviewed and selected form 40 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics as diverse as search-based software engineering, image analysis, dynamical systems, evolutionary robotics and operational research to the foundations of search as characterized through semantic variation operators..
出版日期Conference proceedings 2014
關(guān)鍵詞algorithm analysis and problem complexity
版次1
doihttps://doi.org/10.1007/978-3-662-44303-3
isbn_softcover978-3-662-44302-6
isbn_ebook978-3-662-44303-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

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書目名稱Genetic Programming網(wǎng)絡(luò)公開度學(xué)科排名




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Behavioral Search Drivers for Genetic Programingidely adopted stance, there is no evidence that this quality measure is the best choice; alternative . may exist that make search more effective. This study proposes and investigates a new family of ., which inspect not only final program output, but also program behavior meant as the partial results it arrives at while executed.
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Cartesian Genetic Programming: Why No Bloat? CGP does not suffer from bloat. It has also been shown for CGP that using a very large number of nodes considerably increases the effectiveness of the search. This paper also proposes a new explanation as to why this may be the case.
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https://doi.org/10.1007/978-3-662-63562-9indicate that this is the case in two benchmark problems, in accordance with results for Flat-OE. In conclusion, NEAT provides a worthwhile strategy that could be extrapolated to other GP systems, for effective and simple bloat control.
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Conference proceedings 20142014 co-located with the Evo*2014 events, Evo BIO, Evo COP, Evo MUSART and Evo Applications..The 15 revised full papers presented together with 5 poster papers were carefully reviewed and selected form 40 submissions. The wide range of topics in this volume reflects the current state of research in
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