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Volumn , Issue , 2010, Pages 45-48

Application of improved PSO in mobile robotic path planning

Author keywords

Crossover operator; Mutation operator; Path planning; PSO

Indexed keywords

ALGORITHM EXCHANGE; COMPUTER MODELING; CROSSOVER OPERATOR; GRID METHODS; IMPROVED ALGORITHM; IMPROVED PSO; LOCAL OPTIMAL; MOBILE ROBOTIC; MUTATION OPERATORS; PARTICLE SWARM ALGORITHM; PATH SPACE; PATH-PLANNING; PSO; PSO ALGORITHMS; ROBOT PATH; ROBOT PATH-PLANNING; SEARCH SPACES; SIMULATION RESULT; TWO DIMENSIONAL SPACES;

EID: 78651447855     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICISS.2010.5655007     Document Type: Conference Paper
Times cited : (14)

References (8)
  • 7
    • 78651429197 scopus 로고    scopus 로고
    • Improved genetic algorithm for mobile robot path planning[J]
    • Shi Ii,Shao guo. Improved genetic algorithm for mobile robot path planning[J]: Computer Engineering and Design, 2008.29(24): 6330-6333.
    • (2008) Computer Engineering and Design , vol.29 , Issue.24 , pp. 6330-6333
    • Shi, L.1    Shao, G.2
  • 8
    • 0027544261 scopus 로고
    • Two-dimensional robot navigation among unknown stationary polygonal obstacles[J]
    • Foux G,Heymann M,Bruckstein A.Two-dimensional robot navigation among unknown stationary polygonal obstacles[J].IEEE Trans Robot Automat, I 993,9:96-I 02.
    • (1993) IEEE Trans Robot Automat , vol.9 , pp. 96-102
    • Foux, G.1    Heymann, M.2    Bruckstein, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.