Description: Genetic Programming Theory and Practice XIV Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Rick Riolo, Bill Worzel, Brian Goldman, Bill Tozier Format: Hardback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319970875, 978-3319970875 Synopsis 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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Location: Aldershot
End Time: 2025-01-12T09:16:28.000Z
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Book Title: Genetic Programming Theory and Practice XIV
Number of Pages: 227 Pages
Publication Name: Genetic Programming Theory and Practice Xiv
Language: English
Publisher: Springer International Publishing A&G
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2018
Type: Textbook
Item Weight: 535 g
Author: Bill Worzel, Rick Riolo, Bill Tozier, Brian Goldman
Item Width: 155 mm
Series: Genetic and Evolutionary Computation
Format: Hardcover