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Advances in genetic programming Book

Advances in genetic programming
Advances in genetic programming, Genetic programming, a form of genetic algorithm that evolves programs and program-like executable structures, is a new paradigm for developing reliable, time- and cost-effective applications. The second volume of Advances in Genetic Programming highlight, Advances in genetic programming has a rating of 3 stars
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Advances in genetic programming, Genetic programming, a form of genetic algorithm that evolves programs and program-like executable structures, is a new paradigm for developing reliable, time- and cost-effective applications. The second volume of Advances in Genetic Programming highlight, Advances in genetic programming
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  • Advances in genetic programming
  • Written by author Kenneth E. Kinnear, Jr
  • Published by Cambridge, Mass. : MIT Press, c1994-c1999., 1996/12/03
  • Genetic programming, a form of genetic algorithm that evolves programs and program-like executable structures, is a new paradigm for developing reliable, time- and cost-effective applications. The second volume of Advances in Genetic Programming highlight
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Authors

Contributors
Preface
Acknowledgments
1 A Perspective on the Work in this Book 3
2 Introduction to Genetic Programming 21
3 The Evolution of Evolvability in Genetic Programming 47
4 Genetic Programming and Emergent Intelligence 75
5 Scalable Learning in Genetic Programming using Automatic Function Definition 99
6 Alternatives in Automatic Function Definition: A Comparison of Performance 119
7 The Donut Problem: Scalability, Generalization and Breeding Policies in Genetic Programming 143
8 Effects of Locality in Individual and Population Evolution 177
9 The Evolution of Mental Models 199
10 Evolution of Obstacle Avoidance Behavior: Using Noise to Promote Robust Solutions 221
11 Pygmies and Civil Servants 243
12 Genetic Programming Using a Minimum Description Length Principle 265
13 Genetic Programming in C++: Implementation Issues 285
14 A Compiling Genetic Programming System that Directly Manipulates the Machine Code 311
15 Automatic Generation of Programs for Crawling and Walking 335
16 Genetic Programming for the Acquisition of Double Auction Market Strategies 355
17 Two Scientific Applications of Genetic Programming: Stack Filters and Non-Linear Equation Fitting to Chaotic Data 369
18 The Automatic Generation of Plans for a Mobile Robot via Genetic Programming with Automatically Defined Functions 391
19 Competitively Evolving Decision Trees Against Fixed Training Cases for Natural Language Processing 409
20 Cracking and Co-Evolving Randomizers 425
21 Optimizing Confidence of Text Classification by Evolution of Symbolic Expressions 445
22 Evolvable 3D Modeling for Model-Based Object Recognition Systems 459
23 Automatically Defined Features: The Simultaneous Evolution of 2-Dimensional Feature Detectors and an Algorithm for Using Them 477
24 Genetic Micro Programming of Neural Networks 495
Author Index 519


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