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Genetic Programming Theory and Practice VI

  • Book
  • © 2009

Overview

  • Discusses the hurdles faced in solving large-scale, cutting-edge applications
  • Provides in depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems
  • Contributions by GP theorists from major universities and active practitioners from industry examine how GP theory informs practice and how GP practice impacts GP theory

Part of the book series: Genetic and Evolutionary Computation (GEVO)

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About this book

Genetic Programming Theory and Practice VI was developed from the sixth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.

These contributions address several significant interdependent themes which emerged from this year’s workshop, including: (1) Making efficient and effective use of test data. (2) Sustaining the long-term evolvability of our GP systems. (3) Exploiting discovered subsolutions for reuse. (4) Increasing the role of a Domain Expert.

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Table of contents (16 chapters)

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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