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Genetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings (Lecture Notes in Computer Science Book 9594)

معرفی کتاب «Genetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings (Lecture Notes in Computer Science Book 9594)» نوشتهٔ Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim, Penousal Machado, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi، منتشرشده توسط نشر Springer International Publishing : Imprint : Springer. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This book constitutes the refereed proceedings of the 19th European Conference on Genetic Programming, EuroGP 2016, held in Porto, Portugal, in March/April 2016 co-located with the Evo\*2016 events: EvoCOP, EvoMUSART, and EvoApplications. The 11 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 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, metaheuristics, evolvability, and fitness predictors; and applications including image processing, one-class classification, SQL injection attacks, numerical modelling, streaming data classification, creation and optimisation of circuits, multi-class classification, scheduling in manufacturing and wireless networks. Front Matter....Pages I-XII Front Matter....Pages 1-1 One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming....Pages 3-18 Evolutionary Approximation of Edge Detection Circuits....Pages 19-34 On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets....Pages 35-50 Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data....Pages 51-67 Surrogate Fitness via Factorization of Interaction Matrix....Pages 68-82 Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programming....Pages 83-98 On the Analysis of Simple Genetic Programming for Evolving Boolean Functions....Pages 99-114 Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches....Pages 115-132 A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modifications....Pages 133-148 A Genetic Programming-Based Imputation Method for Classification with Missing Data....Pages 149-163 Plastic Fitness Predictors Coevolved with Cartesian Programs....Pages 164-179 Front Matter....Pages 181-181 Search-Based SQL Injection Attacks Testing Using Genetic Programming....Pages 183-198 Grammar Design for Derivation Tree Based Genetic Programming Systems....Pages 199-214 Modelling Evolvability in Genetic Programming....Pages 215-229 Towards Automated Strategies in Satisfiability Modulo Theory....Pages 230-245 Geometric Semantic Genetic Programming Is Overkill....Pages 246-260 Semantic Geometric Initialization....Pages 261-277 Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application....Pages 278-293 Iterative Cartesian Genetic Programming: Creating General Algorithms for Solving Travelling Salesman Problems....Pages 294-310 Back Matter....Pages 311-311
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