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Titlebook: Genetic Programming; 11th European Confer Michael O’Neill,Leonardo Vanneschi,Ernesto Taranti Conference proceedings 2008 Springer-Verlag Be

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書目名稱Genetic Programming
副標題11th European Confer
編輯Michael O’Neill,Leonardo Vanneschi,Ernesto Taranti
視頻videohttp://file.papertrans.cn/383/382570/382570.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Genetic Programming; 11th European Confer Michael O’Neill,Leonardo Vanneschi,Ernesto Taranti Conference proceedings 2008 Springer-Verlag Be
描述The 11th European Conference on Genetic Programming, EuroGP 2008, took place in Naples, Italy from 26 to 28 March in the University of Naples Congress Centre with spectacular views over the Gulf of Naples. This volume contains the papers for the 21 oral presentations and 10 posters that were presented during this time. A diverse array of topics were covered re?ecting the current state of research in the ?eld of Genetic Programming, including the latest work on representations, theory, operators and analysis, evolvable hardware, agents and numerous applications. A rigorous, double-blind peer review process was employed, with each s- mission reviewed by at least three members of the international Program C- mittee. In total 61 papers were submitted this year, making an acceptance rate of 34% for full papers, and an overall acceptance rate of 51% including posters. S- mission of papers and the reviewing process were greatly assisted by the use of the MyReview management software originally developed by Philippe Rigaux, Bertrand Chardon and other colleagues from the Universit′e Paris-Sud Orsay, France. We are especially grateful to Marc Schoenauer from INRIA, France for managing this s
出版日期Conference proceedings 2008
關(guān)鍵詞In silico; Performance; adaptive systems; classification; evolution; evolutionary algorithms; evolutionary
版次1
doihttps://doi.org/10.1007/978-3-540-78671-9
isbn_softcover978-3-540-78670-2
isbn_ebook978-3-540-78671-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

書目名稱Genetic Programming影響因子(影響力)




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Good News: Using News Feeds with Genetic Programming to Predict Stock Pricesal time from the Dow Jones network with news stories being classified as either Positive, Negative or Neutral in relation to a particular market or sector of interest..We show that with careful consideration to fitness function and data representation, GP can be used effectively to find non-linear s
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A SIMD Interpreter for Genetic Programming on?GPU?Graphics?Cards parallel consumer gaming graphics processing units. Using a Linux KDE computer equipped with an nVidia GeForce 8800 GTX graphics processing unit card the C++ SPMD interpretter evolves programs at Giga GP operations per second (895 million GPops). We use the RapidMind general processing on GPU (GPGP
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Operator Equalisation and Bloat Free GPt limit, however, there may be program-length classes with a higher or lower average fitness than that achieved beyond the limit. Ideally, therefore, GP search should be limited to program lengths that are within the limit and that can achieve optimum fitness. This has the dual benefits of providing
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