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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 A Self-Adaptive Approach to Exploit Topological Properties of Different GAs’ Crossover Operators
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    Chapter 2 A Genetic Programming Encoder for Increasing Autoencoder Interpretability
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    Chapter 3 Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows
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    Chapter 4 Phenotype Search Trajectory Networks for Linear Genetic Programming
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    Chapter 5 GPAM: Genetic Programming with Associative Memory
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    Chapter 6 MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning
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    Chapter 7 Small Solutions for Real-World Symbolic Regression Using Denoising Autoencoder Genetic Programming
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    Chapter 8 Context Matters: Adaptive Mutation for Grammars
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    Chapter 9 A Boosting Approach to Constructing an Ensemble Stack
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    Chapter 10 Adaptive Batch Size CGP: Improving Accuracy and Runtime for CGP Logic Optimization Flow
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    Chapter 11 Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning
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    Chapter 12 Using FPGA Devices to Accelerate Tree-Based Genetic Programming: A Preliminary Exploration with Recent Technologies
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    Chapter 13 Memetic Semantic Genetic Programming for Symbolic Regression
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    Chapter 14 Grammatical Evolution with Code2vec
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    Chapter 15 Domain-Aware Feature Learning with Grammar-Guided Genetic Programming
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    Chapter 16 Genetic Improvement of LLVM Intermediate Representation
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    Chapter 17 Spatial Genetic Programming
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    Chapter 18 All You Need is Sex for Diversity
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    Chapter 19 On the Effects of Collaborators Selection and Aggregation in Cooperative Coevolution: An Experimental Analysis
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    Chapter 20 To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules
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    Chapter 21 MTGP: Combining Metamorphic Testing and Genetic Programming
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    Chapter 22 Interacting Robots in an Artificial Evolutionary Ecosystem
Attention for Chapter 11: Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning
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Chapter title
Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning
Chapter number 11
Book title
Genetic Programming
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-29573-7_11
Book ISBNs
978-3-03-129572-0, 978-3-03-129573-7
Authors

Matsumoto, Nicholas, Saini, Anil Kumar, Ribeiro, Pedro, Choi, Hyunjun, Orlenko, Alena, Lyytikäinen, Leo-Pekka, Laurikka, Jari O., Lehtimäki, Terho, Batista, Sandra, Moore, Jason H.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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