Rick Riolo & Bill Worzel 
Genetic Programming Theory and Practice XIV [PDF ebook] 

समर्थन


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. Chapters in this volume include: 



  • Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression

  • Hybrid Structural and Behavioral Diversity Methods in GP

  • Multi-Population Competitive Coevolution for Anticipation of Tax Evasion

  • Evolving Artificial General Intelligence for Video Game Controllers

  • A Detailed Analysis of a Push GP Run

  • Linear Genomes for Structured Programs

  • Neutrality, Robustness, and Evolvability in GP

  • Local Search in GP

  • PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification

  • Relational Structure in Program Synthesis Problems with Analogical Reasoning

  • An Evolutionary Algorithm for Big Data Multi-Class Classification Problems

  • A Generic Framework for Building Dispersion Operators in the Semantic Space

  • Assisting Asset Model Development with Evolutionary Augmentation

  • Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool 


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.

€53.49
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विषयसूची

1 Similarity-based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression.- 2 An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming.- 3 Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion.- 4 Evolving Artificial General Intelligence for Video Game Controllers.- 5 A Detailed Analysis of a Push GP Run.- 6 Linear Genomes for Structured Programs.- 7 Neutrality, Robustness, and Evolvability in Genetic Programming.- 8 Local Search is Underused in Genetic Programming.- 9 PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification.- 10 Discovering Relational Structural in Program Synthesis Problems with Analogical Reasoning.- 11 An Evolutionary Algorithm for Big Data Multi-Class Classification Problems.- 12 A Genetic Framework for Building Dispersion Operators in the Semantic Space.- 13 Assisting Asset Model Development with Evolutionary Augmentation.- 14 Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool.

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भाषा अंग्रेज़ी ● स्वरूप PDF ● पेज 227 ● ISBN 9783319970882 ● फाइल का आकार 7.2 MB ● संपादक Rick Riolo & Bill Worzel ● प्रकाशक Springer International Publishing ● शहर Cham ● देश CH ● प्रकाशित 2018 ● डाउनलोड करने योग्य 24 महीने ● मुद्रा EUR ● आईडी 6698730 ● कॉपी सुरक्षा सामाजिक DRM

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