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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Machado, Penousal (Επιμελητής έκδοσης), Heywood, Malcolm I. (Επιμελητής έκδοσης), McDermott, James (Επιμελητής έκδοσης), Castelli, Mauro (Επιμελητής έκδοσης), García-Sánchez, Pablo (Επιμελητής έκδοσης), Burelli, Paolo (Επιμελητής έκδοσης), Risi, Sebastian (Επιμελητής έκδοσης), Sim, Kevin (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Lecture Notes in Computer Science, 9025
• Θέματα: Computer science.; Computers.; Algorithms.; Computer science > Mathematics.; Artificial intelligence.; Application software.; Computer Science.; Algorithm Analysis and Problem Complexity.; Computation by Abstract Devices.; Artificial Intelligence (incl. Robotics).; Computer Applications.; Discrete Mathematics in Computer Science.

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...

Πίνακας περιεχομένων:

• 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.