<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>
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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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Buch. Zustand: 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. Artikel-Nr. 9783319905112
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