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Volumn 1, Issue , 2002, Pages 175-180

Genetic algorithm in robot path planning problem in crisp and fuzzified environments

Author keywords

Genetic algorithm; Hopfield neural network; Robot path planning

Indexed keywords

ALGORITHMS; CHROMOSOMES; GENETIC ALGORITHMS; HOPFIELD NEURAL NETWORKS; MOTION PLANNING; PROBLEM SOLVING; ROBOTICS; ROBOTS;

EID: 84949811333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2002.1189886     Document Type: Conference Paper
Times cited : (19)

References (22)
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    • Sundar1    Shiller, Z.2
  • 3
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    • Brown, M.1    Fraser, R.2    Harris, C.J.3    Moore, C.G.4
  • 8
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    • Solving robot motion planning problem using hopfield neural network in a fuzzified environment
    • Honolulu, Hawaii, May 12-17
    • N.Sadati and J.Taheri, "Solving Robot Motion Planning Problem Using Hopfield Neural Network in a Fuzzified Environment", 2002 IEEE Conference on Fuzzy Systems (FUZZ-IEEE 2002), Honolulu, Hawaii, May 12-17, 2002.
    • (2002) 2002 IEEE Conference on Fuzzy Systems (FUZZ-IEEE 2002
    • Sadati, N.1    Taheri, J.2
  • 10
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    • Dynamic global path planning with uncertainty for mobile robots in manufacturing
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    • Hu, H.1    Brady, M.2
  • 11
    • 0031236006 scopus 로고    scopus 로고
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  • 14
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  • 17
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    • Intelligent control based on genetic algorithms, case study on mobile robots
    • May
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  • 21
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    • Path planning of multi mobile robots using genetic algorithm
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  • 22
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    • Multiple path planning for a Group of mobile robots in 2-D Environment using Genetic Algorithm
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.