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Volumn , Issue , 2011, Pages 282-288

Ant colony VS. genetic multiobjective route planning in dynamic multi-hop ridesharing

Author keywords

Ant colony optimization; Evolutionary algorithms; Genetic algorithms; Multiobjective optimization; Ridesharing; Route planning

Indexed keywords

ANT COLONIES; ANT-COLONY OPTIMIZATION; GENETIC APPROACH; LOCAL SEARCH; MULTI OBJECTIVE; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; MULTIHOP; NATIVE FORMS; NP COMPLETE; POOR PERFORMANCE; RIDE-SHARING; ROUTE PLANNING;

EID: 84855771901     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2011.50     Document Type: Conference Paper
Times cited : (20)

References (12)
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    • DOI 10.1016/S0305-0548(99)00037-4, PII S0305054899000374
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    • Comparison of multiobjective evolutionary algorithms for solving the multiobjective route planning in dynamic multi-hop ridesharing
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  • 11
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    • 0037936618 scopus 로고    scopus 로고
    • Performance assessment of multiobjective optimizers: An analysis and review
    • E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. Grunert da Fonseca, "Performance Assessment of Multiobjective Optimizers: An Analysis and Review," IEEE TEC, vol. 7, no. 2, pp. 117-132, 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.