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Genetic Programming

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Cover of 'Genetic Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Evolving High-Level Imperative Program Trees with Strongly Formed Genetic Programming
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    Chapter 2 Android Genetic Programming Framework
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    Chapter 3 Genetic Programming for Generalised Helicopter Hovering Control
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    Chapter 4 Cartesian Genetic Programming for Memristive Logic Circuits
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    Chapter 5 Genetic Programming
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    Chapter 6 Medial Crossovers for Genetic Programming
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    Chapter 7 Improving Face Detection
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    Chapter 8 Genetic Programming
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    Chapter 9 Improving Relevance Measures Using Genetic Programming
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    Chapter 10 An Investigation of Fitness Sharing with Semantic and Syntactic Distance Metrics
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    Chapter 11 Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming
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    Chapter 12 Genetic Programming
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    Chapter 13 Multi-Objective Ant Programming for Mining Classification Rules
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    Chapter 14 Matrix Analysis of Genetic Programming Mutation
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    Chapter 15 An Ecological Approach to Measuring Locality in Linear Genotype to Phenotype Maps
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    Chapter 16 Coevolution in Cartesian Genetic Programming
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    Chapter 17 Evolutionary Design of Message Efficient Secrecy Amplification Protocols
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    Chapter 18 Automatic Design of Ant Algorithms with Grammatical Evolution
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    Chapter 19 Random Sampling Technique for Overfitting Control in Genetic Programming
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    Chapter 20 Evolutionary Operator Self-adaptation with Diverse Operators
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    Chapter 21 The Effect of Bloat on the Efficiency of Incremental Evolution of Simulated Snake-Like Robot
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    Chapter 22 Bayesian Network Structure Learning from Limited Datasets through Graph Evolution
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    Chapter 23 Efficient Phenotype Evaluation in Cartesian Genetic Programming
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