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Genetic Programming Theory and Practice XIV (Paperback, Softcover reprint of the original 1st ed. 2018)
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Genetic Programming Theory and Practice XIV (Paperback, Softcover reprint of the original 1st ed. 2018)
Series: Genetic and Evolutionary Computation
Expected to ship within 10 - 15 working days
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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. 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 PushGP 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.
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