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Gene Expression Programming

Overview of attention for book
Cover of 'Gene Expression Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: The Biological Perspective
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    Chapter 2 The Entities of Gene Expression Programming
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    Chapter 3 The Basic Gene Expression Algorithm
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    Chapter 4 The Basic GEA in Problem Solving
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    Chapter 5 Numerical Constants and the GEP-RNC Algorithm
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    Chapter 6 Automatically Defined Functions in Problem Solving
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    Chapter 7 Polynomial Induction and Time Series Prediction
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    Chapter 8 Parameter Optimization
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    Chapter 9 Decision Tree Induction
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    Chapter 10 Design of Neural Networks
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    Chapter 11 Combinatorial Optimization
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    Chapter 12 Evolutionary Studies
Attention for Chapter 5: Numerical Constants and the GEP-RNC Algorithm
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