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Volumn 19, Issue 1, 1996, Pages 85-94

Trajectory planning of cellular manipulator system using virus-evolutionary genetic algorithm

Author keywords

Cellular manipulator system; Genetic algorithm; Trajectory planning problem; Virus theory of evolution

Indexed keywords

GENETIC ALGORITHMS; MOTION PLANNING; SIMULATION; TRAJECTORIES; VIRUSES;

EID: 0030288293     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0921-8890(96)00035-8     Document Type: Article
Times cited : (17)

References (18)
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  • 2
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    • Collision avoidance planning of a robot manipulator by using genetic algorithm - A consideration for the problem in which moving obstacles and/or several robots are in the workspace
    • N. Baba and N. Kubota, Collision avoidance planning of a robot manipulator by using genetic algorithm - A consideration for the problem in which moving obstacles and/or several robots are in the workspace. Proc. 1st IEEE Conf. Evolutionary Computing Vol.2 (1994) 714-719.
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    • Baba, N.1    Kubota, N.2
  • 3
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    • Planning collision free motions for pick and place operation
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  • 4
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    • A genetic algorithm applied to robot trajectory generation
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    • (1991) Handbook of Genetic Algorithms , pp. 144-165
    • Davidor, Y.1
  • 5
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    • A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems
    • D.B. Fogel, A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems, Simulation, 64 (6) (1995) 397-404.
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    • Fogel, D.B.1
  • 10
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    • A genetics-based hybrid scheduler for generating static schedules in flexible manufacturing contexts
    • C. Holsapple, V. Jacob et al., A genetics-based hybrid scheduler for generating static schedules in flexible manufacturing contexts, IEEE of Tansactions on Systems, Man, and Cybernetics 23 (4) (1993) 953-972.
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    • Holsapple, C.1    Jacob, V.2
  • 11
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    • Real-time obstacle avoidance for manipulators and mobile robots
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    • (1986) Robotics and Research , vol.5 , Issue.1 , pp. 90-98
    • Khatib, O.1
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    • M. Ridley, Evolution (Blackwell Scientific Publications, Oxford, 1993).
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  • 17
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    • Unsupervised/supervised learning for RBF-Fuzzy inference -adaptive rules and membership function and hierarchical strùucture by genetic algorithm
    • K. Shimojima, T. Fukuda, F. Arai, Y. Hasegawa, Unsupervised/Supervised learning for RBF-Fuzzy inference -Adaptive rules and membership function and hierarchical strùucture by genetic algorithm - Proc. IEEE World Wisemen/women Workshop (1994) 97-104.
    • (1994) Proc. IEEE World Wisemen/women Workshop , pp. 97-104
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  • 18
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    • A study reproduction in generational and steady-state genetic algorithms
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    • Syswerda, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.