Genetic Programming: Lecture Notes in Computer Science, cartea 9025
Editat de Penousal Machado, Malcolm I. Heywood, James Mcdermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Simen Limba Engleză Paperback – 26 mar 2015
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Specificații
ISBN-13: 9783319165004
ISBN-10: 3319165003
Pagini: 244
Ilustrații: XII, 231 p. 56 illus.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:2015
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319165003
Pagini: 244
Ilustrații: XII, 231 p. 56 illus.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:2015
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems.- Learning Text Patterns Using Separate-and-Conquer Genetic Programming.- Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation.- Grant Dick On the Generalization Ability of Geometric Semantic Genetic Programming.- Automatic Derivation of Search Objectives for Test-Based Genetic Programming.- Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulation.- M3GP – Multiclass Classification with GP.- Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling.- Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function Specification.- Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs.- Tapped Delay Lines for GP Streaming Data Classification with Label Budgets.- Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates.- Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson.- Automatic Evolution of Parallel Recursive Programs.- Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models.- Evolutionary Methods for the Construction of CryptographicBoolean Functions.- TEMPLAR – A Framework for Template-Method Hyper-Heuristics.- Circuit Approximation Using Single- and Multi-objective Cartesian GP.
Caracteristici
Includes supplementary material: sn.pub/extras