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Genetic Programming: 8th European Conference, EuroGP 2005, Lausanne, Switzerland, March 30-April 1, 2005, Proceedings [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3540254366
  • ISBN-10:  3540254366
  • ISBN-13:  9783540254362
  • ISBN-13:  9783540254362
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  390
  • Pages:  390
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2005
  • Pub Date:  01-Apr-2005
  • SKU:  3540254366-11-SPRI
  • SKU:  3540254366-11-SPRI
  • Item ID: 105255532
  • List Price: $54.99
  • Seller: ShopSpell
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In this volume we present the contributions for the 18th European Conference on Genetic Programming (EuroGP 2005). The conference took place from 30 March to 1 April in Lausanne, Switzerland. EuroGP is a well-established conf- ence and the only one exclusively devoted to genetic programming. All previous proceedings were published by Springer in the LNCS series. From the outset, EuroGP has been co-located with the EvoWorkshops focusing on applications of evolutionary computation. Since 2004, EvoCOP, the conference on evolutionary combinatorial optimization, has also been co-located with EuroGP, making this years combined events one of the largest dedicated to evolutionary computation in Europe. Genetic programming (GP) is evolutionary computation that solves complex problems or tasks by evolving and adapting a population of computer programs, using Darwinian evolution and Mendelian genetics as its sources of inspiration. Some of the 34 papers included in these proceedings address foundational and theoretical issues and there is also a wide variety of papers dealing with di?erent application areas, such as computer science, engineering, language processing, biology and computational design, demonstrating that GP is a powerful and practical problem-solving paradigm.Talks.- An Algorithmic Chemistry for Genetic Programming.- Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner.- Automated Re-invention of a Previously Patented Optical Lens System Using Genetic Programming.- Bayesian Automatic Programming.- Dynamic Size Populations in Distributed Genetic Programming.- Evolution of Robot Controller Using Cartesian Genetic Programming.- Evolving L-Systems to Capture Protein Structure Native Conformations.- Evolving Rules for Document Classification.- Genetic Programming in Wireless Sensor Networks.- Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator.- GP-EndChess: Using Genetic Programmiló–
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