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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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Add 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 to the inventory that you are selling on WonderClubX
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Add 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 to your collection on WonderClub |