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(24)   

• A New Program Structure in Genetic Programming for Object Classification
  Yun Zhang and Mengjie Zhang Proceeding of Image and Vision Computing NZ International Conference, page459--465. Akaroa, New Zealand, Lincoln, Landcare Research, November2004.
  to Modi class image object classification, modifying structure, programming, genetic program algorithms, recognition, multiple based by brazovayeye on Jun 19, 2008, 5:46 PM
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• Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification
  Mengjie Zhang and Will Smart Pattern Recognition Letters27(11):1266--1274August2006. Evolutionary Computer Vision and Image Understanding .
  to Fitness Probability function, programming, Multiclass genetic classification detection, algorithms, recognition, based Object by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming
  Artem Sokolov and Darrell Whitley and Andre' da Motta Salles Barreto Genetic Programming and Evolvable Machines8(3):221--237September2007.
  to programming, pressure hardware, Rank genetic Tournament selection, evolvable algorithms, Selective based by brazovayeye on Jun 19, 2008, 5:46 PM
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• Graph structured program evolution
  Shinichi Shirakawa and Shintaro Ogino and Tomoharu Nagao GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2, page1686--1693. London, ACM Press, 7-11 July2007.
  to factorial, a automatic list reversing graph programming, sequence, genetic exponentiation, Fibonacci algorithms, based by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• The programmer's apprentice
  Charles Rich and Richard C. Waters Computer21(11):10--25November1988.
  to programming knowledge programming, Apprentice, environments, environments system, systems, Programmer's based by brazovayeye on Jun 19, 2008, 5:46 PM
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• Principles in the Evolutionary Design of Digital Circuits-Part II
  Julian F. Miller and Dominic Job and Vesselin K. Vassilev Genetic Programming and Evolvable Machines1(3):259--288July2000.
  to computing, fitness reasoning, design, evolvable extraction landscapes, digital principle programming, hardware, genetic evolutionary circuit circuits, algorithms, case based by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Genetic evolution of hierarchical behavior structures
  Brian G. Woolley and Gilbert L. Peterson GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2, page1731--1738. London, ACM Press, 7-11 July2007.
  to unified robotics, programming, genetic behaviour evolutionary algorithms, framework based by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Evolving Recursive Programs by Using Adaptive Grammar Based Genetic Programming
  Man Leung Wong Genetic Programming and Evolvable Machines6(4):421--455December2005.
  to programs programming, recursive genetic algorithms, grammars, logic based grammar by brazovayeye on Jun 19, 2008, 5:35 PM
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• Crossover Context in Page-based Linear Genetic Programming
  G. C. Wilson and M. I. Heywood IEEE CCECE 2002: IEEE Canadian Conference on Electrical and Computer Engineering, 2, page809--814. IEEE Press, 12-15 May2002.
  to fitness simple trail, strategies, change, effective crossover programming, search sequences, operator, algorithms, instructions, Learning, problems, memories, Strategy strategy (artificial code learning Mateo San register intelligence), genetic artificial ants, based by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Probability Based Genetic Programming for Multiclass Object Classification
  Will Smart and Mengjie Zhang CS-TR-04-7. Computer Science, Victoria University of Wellington, New Zealand, (2004)
  to Probability overlap Gaussian area, object distribution distribution, multiclass weighted programming, genetic classification distance, algorithms, based by brazovayeye and 2 other people on Jun 19, 2008, 5:35 PM
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• An implementation of genetic algorithms for rule based machine learning
  S. Sette and L. Boullart Engineering Applications of Artificial Intelligence13(4):381--390(2000)
  to Learning Textiles, machine learning, Genetic process programming, Production genetic classifier algorithms, efficiency systems, Fuzzy based by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolving Agents
  A. Qureshi Research Note, RN/96/4. UCL, Gower Street, London, WC1E 6BT, UK, January1996.
  to Evolution, Learning, AI, Programming, Machine Agent Generation, Automatic Code Computing, Functions programming, Distributed genetic (ADF) Artificial Automatically Defined Based algorithms, Communication, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Medical Data Mining Using Evolutionary Computation
  Po Shun Ngan and Man Leung Wong and Wai Lam and Kwong Sak Leung and Jack C. Y. Cheng Artificial Intelligent in Medicine16(1):73--96(1999) Special Issue On Data Mining Techniques and Applications in Medicine .
  to computer information Bayesian Learning, Evolutionary Programming, Computation, processing, Rule Genetic Data Mining, programming, genetic Based language algorithms, Networks, Grammar by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Using Prior Knowledge and Obtaining Process Insight in Data Based Modelling of Bioprocesses
  Peter Marenbach System Analysis Modelling Simulation(1998)
  to bioprocesses, modelling, programming, genetic biotechnology, data algorithms, SMOG based by brazovayeye on Jun 19, 2008, 5:35 PM
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• Using Genetic Programming to Improve Software Effort Estimation Based on General Data Sets
  Martin Lefley and Martin J. Shepperd Genetic and Evolutionary Computation -- GECCO-2003, volume2724ofLNCS, page2477--2487. Chicago, Springer-Verlag, 12-16 July2003.
  to Software Search Engineering programming, genetic Based algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Unwitting distributed genetic programming via asynchronous JavaScript and XML
  Jon Klein and Lee Spector GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2, page1628--1635. London, ACM Press, 7-11 July2007.
  to push, programming, genetic JavaScript, AJAX, algorithms, XML stack PushGP, networking, based by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Yield enhancement in photolithography through model-based process control: average mode control
  Benyamin Grosman and Sivan Lachman-Shalem and Raaya Swissa and D. R. Lewin IEEE Transactions on Semiconductor Manufacturing18(1):86--93February2005.
  to simulated model control, yield optimal inputs, mode semiconductor PROLITH feedback structure, regulatory programming, facility electron algorithms, microscopy, multivariable control parameters, scanning predictive fabrication manufacture, photolithography, implementation, modelling package, enhancement process stepper controller, integrated genetic values, strategy, KLA-Tencor-FINLE circuit setpoint systems, empirical models, based average nonlinear by brazovayeye on Jun 19, 2008, 5:35 PM
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• Hill-climbing through "random chemistry" for detecting epistasis
  Margaret J. Eppstein and Joshua L. Payne and Bill C. White and Jason H. Moore Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2006), Seattle, WA, USA, 8-12 July2006.
  to programming, genetic optimisation, data Population mining. algorithms, SNPs, epistasis, based by brazovayeye on Jun 19, 2008, 5:35 PM
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• Constant Creation in Grammatical Evolution
  Ian Dempsey and Michael O'Neill and Anthony Brabazon International Journal of Innovative Computing and Applications1(1):23--38(2007)
  to evolution, constants, constant ephemeral creation, random constants grammatical grammar concatenation, digit programming, persistent genetic algorithms, based by brazovayeye on Jun 19, 2008, 5:35 PM
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• Genetic and Evolutionary Computation -- GECCO 2003, Part II
  Erick Cant'u-Paz and James A. Foster and Kalyanmoy Deb and Lawrence Davis and Rajkumar Roy and Una-May O'Reilly and Hans-Georg Beyer and Russell K. Standish and Graham Kendall and Stewart W. Wilson and Mark Harman and Joachim Wegener and Dipankar Dasgupta and Mitchell A. Potter and Alan C. Schultz and Kathryn A. Dowsland and Natasha Jonoska and Julian F. Miller (eds.). volume2724ofLecture Notes in Computer Science, Springer, 12-16 July2003.
  to computing, Systems, Software Search Engineering, Evolutionary Behavior, Ant Computing, Algorithms, Evolvable A-Life, programming, Quantum Based algorithms, World Optimization, Agents, Molecular Strategies, Coevolution, Learning Programming, Robotics, Routing, Classifier Colony grammatical Immune Adaptive evolution Genetic Real Scheduling Applications, genetic Artificial DNA Evolution Hardware, by brazovayeye on Jun 19, 2008, 5:35 PM
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