Genetic Programming Theory and Practice VI

By: Rick Riolo (Editor), Terence Soule (Editor), Bill Worzel (Editor)

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Hardcover | 1 December 2008

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Hardcover
288 Pages

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24.13 x 15.88 x 1.91

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Contributing Authors.- Preface.- Foreword.- Genetic Programming: Theory and Practice.- A Population Based Study of Evolutionary Dynamics in Genetic Programming.- An Application of Information Theoretic Selection to Evolution of Models with Continuous-valued Inputs.- Pareto Cooperative-Competitive Genetic Programming: A Classification Benchmarking Study.- Genetic Programming with Historically Assessed Hardness.- Crossover and Sampling Biases on Nearly Uniform Landscapes.- Analysis of the Effects of Elitism on Bloat in Linear and Tree-based Genetic Programming.- Automated Extraction of Expert Domain Knowledge from Genetic Programming Synthesis Results.- Does Complexity Matter? Artificial Evolution, Computational Evolution and the Genetic Analysis of Epistasis in Common Human Diseases.- Exploiting Trustable Models via Pareto GP for Targeted Data Collection.- Evolving Effective Incremental SAT Solvers with GP.- Constrained Genetic Programming To Minimize Overfitting in Stock Selection.- Co-Evolving Trading Strategies to Analyze Bounded Rationality.- Profiling Symbolic Regression-Classification.- Accelerating Genetic Programming through Graphics Processing Units.- Genetic Programming for Incentive-Based Design within a Cultural Algorithms Framework.- Index.

Industry Reviews

From the reviews:

"This book is a collection of contributions from various theorists and practitioners working in the genetic programming (GP) field. ... anyone who is interested in the subject should monitor the ongoing research; this volume is an essential assistant for the task. ... I found the book interesting ... that stimulate the researcher to think of further applications of the presented techniques and methodologies. ... I recommend it not only to GP researchers and practitioners, but also to any scientist dealing with optimization problems ... ." (Lefteris Angelis, ACM Computing Reviews, March, 2009)

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