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Volumn , Issue , 2009, Pages 1-7

A simple multi-objective optimization algorithm for the Urban transit routing problem

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATA; CUSTOMER DEMANDS; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION; KEY OBJECTIVE; MULTI-OBJECTIVE PROBLEM; NP-HARD; POTENTIAL SOLUTIONS; PUBLIC TRANSPORT SYSTEMS; TRANSPORT NETWORKS; URBAN TRANSIT;

EID: 70449747182     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4982923     Document Type: Conference Paper
Times cited : (49)

References (22)
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    • Baaj, M.H.1    Mahmassani, H.S.2
  • 3
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    • Ceder, A.1    Wilson, H.M.2
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    • A metaheuristic approach to the Urban transit routing problem
    • Online First
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    • (2008) Journal of Heuristic
    • Fan, L.1    Mumford, C.L.2
  • 10
    • 31044433064 scopus 로고    scopus 로고
    • Using a simulated annealing algorithm to solve the transit route network design problem
    • DOI 10.1061/(ASCE)0733-947X(2006)132:2(122)
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    • Fan, W.1    Machemehl, R.B.2
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    • 84945709831 scopus 로고
    • Algorithm 97: Shortest path
    • R. W. Floyd, Algorithm 97: Shortest Path, Commun. ACM, vol.5(6), pp. 345, 1962.
    • (1962) Commun. ACM , vol.5 , Issue.6 , pp. 345
    • Floyd, R.W.1
  • 15
    • 0037930074 scopus 로고
    • Evaluation and optimization of Urban public transport networks
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    • C. E. Mandl, Evaluation and Optimization of Urban Public Transport Networks, Third Congress on Operations Research, Amsterdam, Netherlands, 1979.
    • (1979) Third Congress on Operations Research
    • Mandl, C.E.1
  • 16
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    • Evaluation and optimization of Urban public transport networks
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  • 21
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    • A simple evolutionary algorithm for multi- objective optimization (SEAMO)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.