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Genetic programming : 18th european conference, eurogp 2015, copenhagen, denmark, april 8-10, 2015, proceedings / edited by Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim.

Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 9025Editor: Cham : Springer International Publishing : Springer, 2015Descripción: xii, 231 páginas : 56 ilustracionesTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783319165011
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QA76.9.A43
Recursos en línea:
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.
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Springer eBooks

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.

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