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Genetic Programming : 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings

フォーマット:
電子ブック
責任表示:
edited by Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo Garcia-Sanchez, Paolo Burelli, Sebastian Risi, Kevin Sim
言語:
英語
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2015
形態:
XII, 231 p. 56 illus
著者名:
Machado, Penousal
Heywood, Malcolm I.
McDermott, James
Castelli, Mauro
Garcia-Sanchez, Pablo
Burelli, Paolo
Risi, Sebastian
Sim, Kevin
SpringerLink (Online service)
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シリーズ名:
Lecture Notes in Computer Science ; 9025
目次情報:
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
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
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書誌ID:
LB00386192
ISBN:
9783319165004 [3319165003]  CiNii Books  Webcat Plus  Google Books
9783319165011 [3319165011]  CiNii Books  Webcat Plus  Google Books
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