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publications

(10)   

• Building Block Supply in Genetic Programming
  Kumara Sastry and Una-May O'Reilly and David E. Goldberg and David Hill Genetic Programming Theory and Practice, chapter 9, Kluwer, (2003)
  to expression building programming, size, genetic supply, schemas, partition, algorithms, blocks, population building-block by brazovayeye on Jun 19, 2008, 5:46 PM
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• Searching the Forest: Using Decision Trees as Building Blocks for Evolutionary Search in Classification Databases
  S. E. Rouwhorst and A. P. Engelbrecht Proceedings of the 2000 Congress on Evolutionary Computation CEC00, 1, page633--638. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, 6-9 July2000.
  to trees, data mining, decision classification, C4.5 programming, search evolutionary operators algorithms, computation, building problems, algorithm, mathematical induction CN2 BGP pattern genetic databases, classification operators, hybrid systems, blocks, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Numerical-node building block analysis of genetic programming with simplification
  Phillip Wong and Mengjie Zhang CS-TR-06-15. Computer Science, Victoria University of Wellington, New Zealand, December2006.
  to building programming, numerical-nodes genetic algorithms, blocks, Simplification, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Context-aware mutation: a modular, context aware mutation operator for genetic programming
  Hammad Majeed and Conor Ryan GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2, page1651--1658. London, ACM Press, 7-11 July2007.
  to building aware context, programming, cache, crossover, genetic context fitness, constructive, algorithms, modules blocks, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Repeated Sequences in Linear Genetic Programming Genomes
  William B. Langdon and Wolfgang Banzhaf Complex Systems15(4):285--306(2005)
  to evolution, tracts, Evolutionary microsatellites, duplication repeats Discipulus finder, unequal hierarchical of programming, sequences, crossover, algorithms, patterns, repetitive elements, computation, GPengine, genomes, building frequent genes, tandemly repeated genetic SSR artificial blocks, growth by brazovayeye on Jun 19, 2008, 5:35 PM
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• Repeated Sequences in Linear GP Genomes
  W. B. Langdon and W. Banzhaf Late Breaking Papers at the 2004 Genetic and Evolutionary Computation Conference, Seattle, Washington, USA, AAAI, 26 July2004.
  to evolution, Evolutionary microsatellites, duplication repeats finder, unequal Algorithms, hierarchical of sequences, crossover, patterns, repetitive elements, computation, genomes, building Programming, frequent genes, tracts tandemly Genetic repeated SSR artificial blocks, growth by brazovayeye on Jun 19, 2008, 5:35 PM
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• Why Ants are Hard
  W. B. Langdon and R. Poli Genetic Programming 1998: Proceedings of the Third Annual Conference, page193--201. University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann, 22-25 July1998.
  to Fitness Search Carlo Fe sampling), Building trail, Half-and-half (Monte Landscape, Ramped programming, genetic Santa algorithms, Random blocks, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• The Hierarchical Fair Competition Framework for Sustainable Evolutionary Algorithms
  Jianjun Hu and Erik Goodman and Kisung Seo and Zhun Fan and Rondal Rosenberg Evolutionary Computation13(2):241--277Summer2005.
  to building competition, sustainable convergence, problem fair solving hierarchical programming, genetic evolutionary algorithms, diversity, blocks, premature by brazovayeye on Jun 19, 2008, 5:35 PM
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• Probing for limits to building block mixing with a tunably-difficult problem for genetic programming
  Jason M. Daida and Michael E. Samples and Matthew J. Byom GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page1713--1720. Washington DC, USA, ACM Press, 25-29 June2005.
  to building problems, experimentation, theory highlander tunably-difficult populations, programming, genetic initial problem, performance, algorithms, blocks, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Towards identifying populations that increase the likelihood of success in genetic programming
  Jason M. Daida GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page1627--1634. Washington DC, USA, ACM Press, 25-29 June2005.
  to building experimentation, theory problem selection methods, populations, programming programming, difficulty, genetic initial binomial-3, performance, algorithms, blocks, dynamics, population by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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