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Volumn , Issue , 2005, Pages 113-118

Using cyclic genetic algorithms to evolve multi-loop control programs

Author keywords

Control; Evolutionary robotics; Genetic algorithms; Learning

Indexed keywords

CONTROL SYSTEMS; GAIT ANALYSIS; ROBOTICS; SENSORS;

EID: 27744492280     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 2
    • 0029520701 scopus 로고
    • Evolution of neural control structures: Some experiments on mobile robots
    • F. Mondada and D. Floreano, "Evolution of Neural Control Structures: Some Experiments on Mobile Robots," Robotics and Autonomous Systems, 16, 183-195, 1995.
    • (1995) Robotics and Autonomous Systems , vol.16 , pp. 183-195
    • Mondada, F.1    Floreano, D.2
  • 6
    • 84976932126 scopus 로고
    • Using genetic algorithms to learn reactive control parameters for autonomous robotic navigation
    • A. Ram, R. Arkin, G. Boone, and M. Pearce, "Using Genetic Algorithms to Learn Reactive Control Parameters for Autonomous Robotic Navigation," Adaptive Behavior, vol. 2, issue 3, 1994.
    • (1994) Adaptive Behavior , vol.2 , Issue.3
    • Ram, A.1    Arkin, R.2    Boone, G.3    Pearce, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.