Genetic Programming

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

• Author(s): Anna Isabel Esparcia-Alcazar, Aniko Ekart, Sara Silva, Stephen Dignum, A. Sima Uyar,
• Publisher: Springer Science & Business Media
• Pages: 336
• ISBN_10: 3642121470
  ISBN_13: 9783642121470
  
• Language: en
• Categories: Computers / Artificial Intelligence / General , Computers / Computer Science , Computers / Artificial Intelligence / Computer Vision & Pattern Recognition , Computers / Information Technology , Computers / Machine Theory , Computers / Networking / General , Computers / Optical Data Processing , Computers / Programming / General , Computers / Software Development & Engineering / General , Computers / Programming / Algorithms , Computers / User Interfaces , Computers / Networking / Hardware , Mathematics / Discrete Mathematics ,

Description:... 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.