Genetic Programming 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings /
This book constitutes the refereed proceedings of the 18th European Conference on Genetic Programming, EuroGP 2015, held in Copenhagen, Spain, in April 2015 co-located with the Evo 2015 events, EvoCOP, Evo MUSART and Evo Applications. The 12 revised full papers presented together with 6 poster paper...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , , , , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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Edición: | 1st ed. 2015. |
Colección: | Theoretical Computer Science and General Issues,
9025 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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 Cryptographic Boolean Functions
- TEMPLAR - A Framework for Template-Method Hyper-Heuristics
- Circuit Approximation Using Single- and Multi-objective Cartesian GP.