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Genetic Programming: 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings 2015 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 231 pages, kõrgus x laius: 235x155 mm, kaal: 3752 g, 56 Illustrations, black and white; XII, 231 p. 56 illus., 1 Paperback / softback
  • Sari: Theoretical Computer Science and General Issues 9025
  • Ilmumisaeg: 26-Mar-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319165003
  • ISBN-13: 9783319165004
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  • Formaat: Paperback / softback, 231 pages, kõrgus x laius: 235x155 mm, kaal: 3752 g, 56 Illustrations, black and white; XII, 231 p. 56 illus., 1 Paperback / softback
  • Sari: Theoretical Computer Science and General Issues 9025
  • Ilmumisaeg: 26-Mar-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319165003
  • ISBN-13: 9783319165004
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 papers were carefully reviewed and selected form 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics as diverse as semantic methods, recursive programs, grammatical methods, coevolution, Cartesian GP, feature selection, initialisation procedures, ensemble methods and search objectives; and applications including text processing, cryptography, numerical modelling, software parallelisation, creation and optimisation of circuits, multi-class classification, scheduling and artificial intelligence.
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.