Genetic programming theory and practice XVII / Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel, editors.
Workshop on Genetic Programming, Theory and Practice (17th : 2019 : East Lansing, Mich.); Banzhaf, Wolfgang, 1955-; Goodman, Erik.; Sheneman, Leigh.; Trujillo, Leonardo.; Worzel, Bill.
2020
QA76.623
Available Online

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Title Genetic programming theory and practice XVII / Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel, editors.
Meeting Name Workshop on Genetic Programming, Theory and Practice (17th : 2019 : East Lansing, Mich.)
ISBN 9783030399580 (electronic book)
3030399583 (electronic book)
3030399575
9783030399573
DOI https://doi.org/10.1007/978-3-030-39
https://doi.org/10.1007/978-3-030-39958-0
Publication Details Cham : Springer, 2020.
Language English
Description 1 online resource (423 pages).
Item Number 10.1007/978-3-030-39
10.1007/978-3-030-39958-0 doi
Call Number QA76.623
Dewey Decimal Classification 006.3/1
Summary These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this years edition, the topics covered include many of the most important issues and research questions in the field, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based on print version record.
Added Author Banzhaf, Wolfgang, 1955-
Goodman, Erik.
Sheneman, Leigh.
Trujillo, Leonardo.
Worzel, Bill.
Series Genetic and evolutionary computation series.
Available in Other Form Genetic Programming Theory and Practice XVII
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Record Appears in Online Resources > Ebooks
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1. Characterizing the Effects of Random Subsampling on Lexicase Selection
2. It is Time for New Perspectives on How to Fight Bloatin GP
3. Explorations of the Semantic Learning Machine Neuroevolution Algorithm
4. Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics?
5. Symbolic Regression by Exhaustive Search
Reducing the Search Space using Syntactical Constraints and Efficient Semantic Structure Deduplication
6. Temporal Memory Sharing in Visual Reinforcement Learning
7. The Evolution of Representations in Genetic Programming Trees
8. How Competitive is Genetic Programming in Business Data Science Applications?
9. Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming
10. Evolutionary Computation and AI Safety
11. Genetic Programming Symbolic Regression
12. Hands-on Artificial Evolution through Brain Programming
13. Comparison of Linear Genome Representations For Software Synthesis
14. Enhanced Optimization with Composite Objectives and Novelty Pulsation
15. New Pathways in Coevolutionary Computation
16. 2019 Evolutionary Algorithms Review
17. Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model
18. Modelling Genetic Programming as a Simple Sampling Algorithm
19. An Evolutionary System for Better Automatic Software Repair
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