Genetic Programming Theory and Practice XVI: Genetic and Evolutionary Computation
Editat de Wolfgang Banzhaf, Lee Spector, Leigh Shenemanen Limba Engleză Hardback – 4 feb 2019
Din seria Genetic and Evolutionary Computation
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Specificații
ISBN-13: 9783030047344
ISBN-10: 3030047342
Pagini: 248
Ilustrații: XXI, 234 p. 65 illus., 47 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.54 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Genetic and Evolutionary Computation
Locul publicării:Cham, Switzerland
ISBN-10: 3030047342
Pagini: 248
Ilustrații: XXI, 234 p. 65 illus., 47 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.54 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Genetic and Evolutionary Computation
Locul publicării:Cham, Switzerland
Cuprins
1 Exploring Genetic Programming Systems with MAP-Elites.- 2 The Evolutionary Buffet Method.- 3 Emergent Policy Discovery for Visual Reinforcement Learning through Tangled Program Graphs: A Tutorial.- 4 Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification.- 5 Cluster Analysis of a Symbolic Regression Search Space.- 6 What else is in an evolved name? Exploring evolvable specificity with SignalGP.- Lexicase Selection Beyond Genetic Programming.- 8 Evolving developmental programs that build neural networks for solving multiple problems.- 9 The Elephant in the Room - Towards the Application of Genetic Programming to Automatic Programming.- 10 Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal.- 11 Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning.
Caracteristici
Provides papers describing cutting-edge work on the theory and applications of genetic programming (GP) Offers large-scale, real-world applications (big data) of GP to a variety of problem domains, including commercial and scientific applications as well as financial and insurance problems Explores controlled semantics, lexicase and other selection methods, crossover techniques, diversity analysis and understanding of convergence tendencies