Genetic Programming Theory and Practice V

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

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Hardcover | 11 January 2008

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296 Pages

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24.77 x 16.51 x 3.18

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Genetic Programming Theory and Practice V was developed from the fifth 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.

The work covers applications of GP to a wide variety of domains, including bioinformatics, symbolic regression for system modeling, financial modeling, circuit design and robot controllers. This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Programming & Software Development Algorithms & Data Structures Computer Science Artificial Intelligence

Contributing Authors	p. vii
Preface	p. xi
Foreword	p. xiii
Genetic Programming: Theory and Practice	p. 1
Better Solutions Faster: Soft Evolution of Robust Regression Models in Pareto Genetic Programming	p. 13
Manipulation of Convergence in Evolutionary Systems	p. 33
Large-Scale, Time-Constrained Symbolic Regression-Classification	p. 53
Solving Complex Problems in Human Genetics Using Genetic Programming: The Importance of Theorist-Practitioner-Computer Interaction	p. 69
Towards an Information Theoretic Framework for Genetic Programming	p. 87
Investigating Problem Hardness of Real Life Applications	p. 107
Improving the Scalability of Generative Representations for Open-Ended Design	p. 125
Program Structure-Fitness Disconnect and Its Impact On Evolution In Genetic Programming	p. 143
Genetic Programming with Ruse of Known Designs for Industrially Scalable, Novel Circuit Design	p. 159
Robust Engineering Design of Electronic Circuits with Active Components Using Genetic Programming and Bond Graphs	p. 185
Trustable Symbolic Regression Models: Using Ensembles, Interval Arithmetic and Pareto Fronts to Develop Robust and Trust-Aware Models	p. 201
Improving Performance and Cooperation in Multi-Agent Systems	p. 221
An Empirical Study of Multi-Objective Algorithms for Stock Ranking	p. 239
Using GP and Cultural Algorithms to Simulate the Evolution of an Ancient Urban Center	p. 261
Index	p. 277
Table of Contents provided by Ingram. All Rights Reserved.

Genetic Programming Theory and Practice V

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Hardcover

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