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Volumn , Issue , 2008, Pages 1523-1530

Fault tolerant control using cartesian genetic programming

Author keywords

Cartesian genetic programming; Control; Evolutionary algorithms; Sensor fault tolerance

Indexed keywords

CONTROL ENGINEERING; EVOLUTIONARY ALGORITHMS; FAULT TOLERANCE; GENETIC ALGORITHMS;

EID: 57349174549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1389095.1389389     Document Type: Conference Paper
Times cited : (7)

References (14)
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    • S. DiPaola. Evolving 'portrait painter programs' using genetic programming (Darwinian evolution) and a portrait of Darwin, website, School of Interactive Arts & Technology, Faculty of Applied Sciences, Simon Fraser University, http://www.dipaola.org/evolve/, August 2007.
    • S. DiPaola. Evolving 'portrait painter programs' using genetic programming (Darwinian evolution) and a portrait of Darwin, website, School of Interactive Arts & Technology, Faculty of Applied Sciences, Simon Fraser University, http://www.dipaola.org/evolve/, August 2007.
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    • Edwards, C.1    Tan, C.2
  • 6
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    • Evolution of robot controller using cartesian genetic programming
    • Proceedings of the 6th European Conference on Genetic Programming EuroGP 2005, Springer
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    • Harding, S.1    Miller, J.2
  • 7
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    • T. Martinek and L. Sekanina. An evolvable image filter: experimental evaluation of a complete hardware implementation in fpga. In J. Moreno, J. Madrenas, and J. Cosp, editors, Evolvable Systems: From Biology to Hardware. Proceedings Lecture Notes in Computer Science, 3637 of 6th International Conference, ICES 2005, pages 76-85, Sitges, Spain, September 2005. Springer-Verlag, Berlin, Germany.
    • T. Martinek and L. Sekanina. An evolvable image filter: experimental evaluation of a complete hardware implementation in fpga. In J. Moreno, J. Madrenas, and J. Cosp, editors, Evolvable Systems: From Biology to Hardware. Proceedings Lecture Notes in Computer Science, volume 3637 of 6th International Conference, ICES 2005, pages 76-85, Sitges, Spain, September 2005. Springer-Verlag, Berlin, Germany.
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    • J. Miller. An empirical study of the efficiency of learning boolean functions using cartesian genetic programming approach. 2 of Proc. of GECCO, page 1135-1142. Morgan Kaufmann, 1999.
    • J. Miller. An empirical study of the efficiency of learning boolean functions using cartesian genetic programming approach. volume 2 of Proc. of GECCO, page 1135-1142. Morgan Kaufmann, 1999.
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    • J. F. Miller, P. Thomson, and T. C. Fogarty. Designing electronic circuits using evolutionary algorithms, arithmetic circuits: a case study, booktitle= Genetic Algorithms and Evolution Strategies in Engineering and Computer Science, year = 1997, pages = 105-131, publisher = Wiley.
    • J. F. Miller, P. Thomson, and T. C. Fogarty. Designing electronic circuits using evolutionary algorithms, arithmetic circuits: a case study, booktitle= Genetic Algorithms and Evolution Strategies in Engineering and Computer Science, year = 1997, pages = 105-131, publisher = Wiley.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.