Téléchargez le livre : Genetic Programming Theory and Practice XIV

Genetic Programming Theory and Practice XIV

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Springer


Collection :

Genetic and Evolutionary Computation

Paru le : 2018-10-24

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Description


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. Chapters in this volume include: 
Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression
Hybrid Structural and Behavioral Diversity Methods in GP
Multi-Population Competitive Coevolution for Anticipation of Tax Evasion
Evolving Artificial General Intelligence for Video Game Controllers
A Detailed Analysis of a PushGP Run
Linear Genomes for Structured Programs
Neutrality, Robustness, and Evolvability in GP
Local Search in GP
PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification
Relational Structure in Program Synthesis Problems with Analogical Reasoning
An Evolutionary Algorithm for Big Data Multi-Class Classification Problems
A Generic Framework for Building Dispersion Operators in the Semantic Space
Assisting Asset Model Development with Evolutionary Augmentation
Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool 
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.
Pages
227 pages
Collection
Genetic and Evolutionary Computation
Parution
2018-10-24
Marque
Springer
EAN papier
9783319970875
EAN PDF
9783319970882
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
7004 Ko
Prix
52,99 €
EAN EPUB
9783319970882
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
12554 Ko
Prix
52,99 €

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