<P>THESE CONTRIBUTIONS, WRITTEN BY THE FOREMOST INTERNATIONAL RESEARCHERS AND PRACTITIONERS OF GENETIC PROGRAMMING (GP), EXPLORE THE SYNERGY BETWEEN THEORETICAL AND EMPIRICAL RESULTS ON REAL-WORLD PROBLEMS, PRODUCING A COMPREHENSIVE VIEW OF THE STATE OF THE ART IN GP. TOPICS IN THIS VOLUME INCLUDE: EXPLOITING SUBPROGRAMS IN GENETIC PROGRAMMING, SCHEMA FREQUENCIES IN GP, ACCESSIBLE AI, GP FOR BIG DATA, LEXICASE SELECTION, SYMBOLIC REGRESSION TECHNIQUES, CO-EVOLUTION OF GP AND LCS, AND APPLYING ECOLOGICAL PRINCIPLES TO GP. IT ALSO COVERS SEVERAL CHAPTERS ON BEST PRACTICES AND LESSONS LEARNED FROM HANDS-ON EXPERIENCE. READERS WILL DISCOVER LARGE-SCALE, REAL-WORLD APPLICATIONS OF GP TO A VARIETY OF PROBLEM DOMAINS VIA IN-DEPTH PRESENTATIONS OF THE LATEST AND MOST SIGNIFICANT RESULTS.</P><P></P>
"Sinopsis" puede pertenecer a otra edición de este libro.
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
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Hardcover. Condición: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.02. Nº de ref. del artículo: G3319905112I4N10
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results. 204 pp. Englisch. Nº de ref. del artículo: 9783319905112
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results. Nº de ref. del artículo: 9783319905112
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides papers describing cutting-edge work on the theory and applications of genetic programming (GP)Offers large-scale, real-world applications (big data) of GP to a variety of problem domains, including commercial and scientific applications a. Nº de ref. del artículo: 220289811
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