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Genetic Programming Theory and Practice XVII

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Cover of 'Genetic Programming Theory and Practice XVII'

Table of Contents

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    Book Overview
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    Chapter 1 Characterizing the Effects of Random Subsampling on Lexicase Selection
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    Chapter 2 It Is Time for New Perspectives on How to Fight Bloat in GP
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    Chapter 3 Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives
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    Chapter 4 Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics?
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    Chapter 5 Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication
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    Chapter 6 Temporal Memory Sharing in Visual Reinforcement Learning
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    Chapter 7 The Evolution of Representations in Genetic Programming Trees
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    Chapter 8 How Competitive Is Genetic Programming in Business Data Science Applications?
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    Chapter 9 Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming
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    Chapter 10 Evolutionary Computation and AI Safety
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    Chapter 11 Genetic Programming Symbolic Regression: What Is the Prior on the Prediction?
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    Chapter 12 Hands-on Artificial Evolution Through Brain Programming
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    Chapter 13 Comparison of Linear Genome Representations for Software Synthesis
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    Chapter 14 Enhanced Optimization with Composite Objectives and Novelty Pulsation
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    Chapter 15 New Pathways in Coevolutionary Computation
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    Chapter 16 2019 Evolutionary Algorithms Review
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    Chapter 17 Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model
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    Chapter 18 Modelling Genetic Programming as a Simple Sampling Algorithm
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    Chapter 19 An Evolutionary System for Better Automatic Software Repair
Attention for Chapter 14: Enhanced Optimization with Composite Objectives and Novelty Pulsation
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Chapter title
Enhanced Optimization with Composite Objectives and Novelty Pulsation
Chapter number 14
Book title
Genetic Programming Theory and Practice XVII
Published by
Springer, Cham, May 2020
DOI 10.1007/978-3-030-39958-0_14
Book ISBNs
978-3-03-039957-3, 978-3-03-039958-0
Authors

Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen, Shahrzad, Hormoz, Hodjat, Babak, Dollé, Camille, Denissov, Andrei, Lau, Simon, Goodhew, Donn, Dyer, Justin, Miikkulainen, Risto

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