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Genetic Programming : 13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings - Anna Isabel Esparcia-Alcazar

Genetic Programming

13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings

By: Anna Isabel Esparcia-Alcazar (Editor), Aniko Ekart (Editor), Sara Silva (Editor), Stephen Dignum (Editor), A. Sima Uyar (Editor)

Paperback Published: 25th March 2010
ISBN: 9783642121470
Number Of Pages: 336

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In its lucky 12+1 edition, during April 7-9, 2010, the European Conference on Genetic Programming (EuroGP) travelled to its most easterly location so far, theEuropeanCityof Culture2010, Istanbul, Turkey.EuroGPisthe onlyconf- enceworldwideexclusivelydevotedtogeneticprogrammingandtheevolutionary generation of computer programs. For over a decade, genetic programming (GP) has been considered the new form of evolutionary computation. With nearly 7,000 articles in the online GP bibliography maintained by William B. Langdon, we can say that it is now a mature ?eld. EuroGP has contributed to the success of the ?eld substantially, by being a unique forum for expressing new ideas, meeting, and starting up collaborations. The wide rangeoftopics in this volume re?ectthecurrentstateof researchin the ?eld, including representations, theory, operators and analysis, novel m- els, performance enhancements, extensions of genetic programming, and various applications. The volume contains contributions in the following areas: - Understanding GP behavior andGP analysis include articles on cro- over operators and a new way of analyzing results. -GPperformance presents work on performance enhancements through phenotypic diversity, simpli?cation, ?tness and parallelism. - Novel models and their application present innovative approaches with arti?cial biochemical networks, genetic regulatory networks and geometric di?erential evolution. - Grammatical evolution introduces advances in crossover, mutation and phenotype-genotype maps in this relatively new area. - Machine learning and data mining include articles that present data miningormachinelearningsolutionsusingGPandalsocombinedatamining and machine learning with GP. - Applications rangefromsolvingdi?erentialequations, routingproblems to ?le type detection, object-oriented testing, agents. This year we received 48 submissions, of which 47 were sent to the reviewers.

Oral Presentations
Genetic Programming for Classification with Unbalanced Datap. 1
An.Analysis of the Behaviour of Mutation in Grammatical Evolutionp. 14
Positional Effect of Crossover and Mutation in Grammatical Evolutionp. 26
Sub-tree Swapping Crossover and Arity Histogram Distributionsp. 38
Novelty-Based Fitness: An Evaluation under the Santa Fe Trailp. 50
An Analysis of Genotype-Phenotype Maps in Grammatical Evolutionp. 62
Handling Different Categories of Concept Drifts in Data Streams Using Distributed GPp. 74
An Indirect Approach to the Three-Dimensional Multi-pipe Routing Problemp. 86
Phenotypic Diversity in Initial Genetic Programming Populationsp. 98
A Relaxed Approach to Simplification in Genetic Programmingp. 110
Unsupervised Problem Decomposition Using Genetic Programmingp. 122
GP-Fileprints: File Types Detection Using Genetic Programmingp. 134
A Many Threaded CUDA Interpreter for Genetic Programmingp. 146
Controlling Complex Dynamics with Artificial Biochemical Networksp. 159
Geometric Differential Evolution on the Space of Genetic Programsp. 171
Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossoverp. 184
Evolving Genes to Balance a Polep. 196
Solution-Locked Averages and Solution-Time Binning in Genetic Programmingp. 208
Enabling Object Reuse on Genetic Programming-Based Approaches to Object-Oriented Evolutionary Testingp. 220
Analytic Solutions to Differential Equations under Graph-Based Genetic Programmingp. 232
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Datap. 244
Genetic Programming for Auction Based Schedulingp. 256
Bandit-Based Genetic Programmingp. 268
Using Imaginary Ensembles to Select GP Classifiersp. 278
Analysis of Building Blocks with Numerical Simplification in Genetic Programmingp. 289
Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Schedulingp. 301
Ensemble Image Classification Method Based on Genetic Image Networkp. 313
Fine-Grained Timing Using Genetic Programmingp. 325
Author Indexp. 337
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9783642121470
ISBN-10: 3642121470
Series: Lecture Notes in Computer Science
Audience: General
Format: Paperback
Language: English
Number Of Pages: 336
Published: 25th March 2010
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.37 x 15.75  x 1.78
Weight (kg): 0.52