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(7)   

• Evolving rule-based systems in two medical domains using genetic programming
  Athanasios Tsakonas and Georgios Dounias and Jan Jantzen and Hubertus Axer and Beth Bjerregaard and Diedrich Graf von Keyserlingk Artificial Intelligence in Medicine32(3):195--216November2004.
  to Genetic-fuzzy Aphasia, test machine Hybrid decision learning, intelligence, programming, driven genetic Inductive Medical making, Pap-smear algorithms, systems, GP, Grammar by brazovayeye and 2 other people on Jun 19, 2008, 5:46 PM
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• Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
  Stefan Wappler and Joachim Wegener GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2, page1925--1932. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to testing, Software code, Engineering, automated test Search-Based object-orientation, of strongly-typed programming, verification tools, coverage genetic evolutionary testing algorithms, case generation, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• The Test Vector Problem and Limitations to Evolving Digital Circuits
  Kosuke Imamura and James A. Foster and Axel W. Krings The Second NASA/DoD workshop on Evolvable Hardware, page75--80. Palo Alto, California, IEEE Computer Society, 13-15 July2000.
  to testing, test design, table evolving digital logic VLSI, vector truth genetic problem, evolutionary techniques, circuits, algorithms, generation by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• GPTesT: A Testing Tool Based On Genetic Programming
  Maria Cl'audia Figueiredo Pereira Emer and Silvia Regina Vergilio GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, page1343--1350. New York, Morgan Kaufmann Publishers, 9-13 July2002.
  to testing, analysis, criteria test induction mutation search-based of software fault-based programming, genetic engineering, programs, algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Genetic programming and its applications to the synthesis of digital logic
  Karen M. Dill and James H. Herzog and Marek A. Perkowski Communications, Computers and Signal Processing, PACRIM 1997, 2, page823--826. Victoria, BC, Canada, 20-22 August1997.
  to arbitrary synthesis, equations, coverage, test set applicability, recognition gates, digital randomly function training results, designed programming, size, complete CAD, algorithms, expressions, population experimental functions, optimization problem sets, logic sizes, input genetic variables, circuits, criterion, small by brazovayeye on Jun 19, 2008, 5:35 PM
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• What Makes a Problem GP-Hard? A Look at How Structure Affects Content
  Jason M. Daida Genetic Programming Theory and Practice, chapter 7, Kluwer, (2003)
  to problems tree structures, programming, test difficulty, genetic GP-hard, GP problem algorithms, theory, by brazovayeye on Jun 19, 2008, 5:35 PM
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• What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming
  Jason M. Daida and Robert R. Bertram and Stephen A. Stanhope and Jonathan C. Khoo and Shahbaz A. Chaudhary and Omer A. Chaudhri and John A. Polito II Genetic Programming and Evolvable Machines2(2):165--191June2001.
  to problems, programming, test fitness difficulty, genetic GP theory problem algorithms, landscapes, by brazovayeye on Jun 19, 2008, 5:35 PM
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