Genetic programming theory and practice VIII
Saved in:
Corporate Authors: | ; |
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Group Author: | ; ; |
Published: |
Springer,
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Publisher Address: | New York |
Publication Dates: | c2011. |
Literature type: | Book |
Language: | English |
Series: |
Genetic and evolutionary computation |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-1-4419-7747-2 |
Carrier Form: | 1 online resource (xvi, 247 p.): ill. |
ISBN: |
9781441977472 (electronic bk.) 1441977473 (electronic bk.) |
Index Number: | TP311 |
CLC: |
TP311.11-523 TP301.6-532 |
Contents: |
Includes bibliographical references and index. Contributing Authors; Preface; Foreword; Genetic Programming Theory and Practice 2010: An Introduction; 1. The Workshop; 2. Summary of Progress; 3. A Brief Introduction to Genetic Programming2; 4. GP Challenges and Goals; GP Algorithm Goals and Challenges; Goals for GP Incorporated in larger Systems; 5. GP Best Practices; 6. Application Successes Via Best Practices; 7. Themes, Summary and Looking Forward; References; Chapter 1; FINCH: A SYSTEM FOR EVOLVING JAVA (BYTECODE); Chapter 2. The contributions in this volume are written by the foremost international researchers and practitioners in the GP arena. They examine the similarities and differences between theoretical and empirical results on real-world problems. This text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. It includes topics such as: Finch: A System for Evolving Java, Practical Autoconstructive Evolution, The Rubik Cube and GP Temporal Sequence Learning, Ensemble classifiers: AdaBoost and Orthogonal Evolution of Teams, Self-modifying. |