↓ Skip to main content
What is this page? Embed badge

Genetic Programming Theory and Practice XVII

Overview of attention for book
Cover of 'Genetic Programming Theory and Practice XVII'

Table of Contents

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

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
147 Mendeley
Summary Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
2019 Evolutionary Algorithms Review
Chapter number 16
Book title
Genetic Programming Theory and Practice XVII
Published by
Springer, Cham, May 2020
DOI 10.1007/978-3-030-39958-0_16
Book ISBNs
978-3-03-039957-3, 978-3-03-039958-0
Authors

Andrew N. Sloss, Steven Gustafson, Sloss, Andrew N., Gustafson, Steven

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 147 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 16%
Student > Master 22 15%
Student > Bachelor 17 12%
Researcher 11 7%
Student > Doctoral Student 8 5%
Other 14 10%
Unknown 51 35%
Readers by discipline Count As %
Computer Science 44 30%
Engineering 19 13%
Physics and Astronomy 10 7%
Biochemistry, Genetics and Molecular Biology 4 3%
Neuroscience 3 2%
Other 13 9%
Unknown 54 37%

This page is provided by Altmetric.