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Genetic Programming

Overview of attention for book
Cover of 'Genetic Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Ariadne : Evolving Test Data Using Grammatical Evolution
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    Chapter 2 Quantum Program Synthesis: Swarm Algorithms and Benchmarks
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    Chapter 3 A Genetic Programming Approach to Predict Mosquitoes Abundance
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    Chapter 4 Complex Network Analysis of a Genetic Programming Phenotype Network
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    Chapter 5 Improving Genetic Programming with Novel Exploration - Exploitation Control
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    Chapter 6 Towards a Scalable EA-Based Optimization of Digital Circuits
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    Chapter 7 Cartesian Genetic Programming as an Optimizer of Programs Evolved with Geometric Semantic Genetic Programming
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    Chapter 8 Can Genetic Programming Do Manifold Learning Too?
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    Chapter 9 Why Is Auto-Encoding Difficult for Genetic Programming?
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    Chapter 10 Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
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    Chapter 11 A Model of External Memory for Navigation in Partially Observable Visual Reinforcement Learning Tasks
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    Chapter 12 Fault Detection and Classification for Induction Motors Using Genetic Programming
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    Chapter 13 Fast DENSER: Efficient Deep NeuroEvolution
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    Chapter 14 A Vectorial Approach to Genetic Programming
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    Chapter 15 Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions
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    Chapter 16 Evolving AVX512 Parallel C Code Using GP
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    Chapter 17 Hyper-bent Boolean Functions and Evolutionary Algorithms
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    Chapter 18 Learning Class Disjointness Axioms Using Grammatical Evolution
Attention for Chapter 10: Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
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