Del i serien Genetic and Evolutionary Computation

Genetic Programming Theory and Practice XVII

Häftad, Engelska, 2021

AvWolfgang Banzhaf,Erik Goodman,Leigh Sheneman,Leonardo Trujillo,Bill Worzel

2 289 kr

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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.

Produktinformation

Utgivningsdatum2021-05-08
Mått155 x 235 x 24 mm
Vikt657 g
FormatHäftad
SpråkEngelska
SerieGenetic and Evolutionary Computation
Antal sidor409
FörlagSpringer Nature Switzerland AG
ISBN9783030399603

Tillhör följande kategorier

Programmeringsböcker inom Data och IT
Artificiell intelligens inom Data och IT

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.- Index.

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