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Volumn 359, Issue , 2015, Pages 57-68

Iterated tabu search for the mix fleet vehicle routing problem with heterogenous electric vehicles

Author keywords

Electric vehicle charging; Electric vehicle routing problem; Iterated tabu search; Large neighborhood search; Meta heuristics; Optimization

Indexed keywords

BENCHMARKING; CHARGING (BATTERIES); COSTS; ELECTRIC VEHICLES; INFORMATION MANAGEMENT; INFORMATION SYSTEMS; MANAGEMENT SCIENCE; NETWORK ROUTING; NUMBER THEORY; OPERATING COSTS; OPTIMIZATION; ROUTING ALGORITHMS; TABU SEARCH; VEHICLES;

EID: 84942570210     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-18161-5_6     Document Type: Conference Paper
Times cited : (33)

References (16)
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    • Technical report, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies, BWL
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    • Multi-start iterated local search for the mixed fleet vehicle routing problem with heterogenous electric vehicles
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    • Sassi, O., Cherif-Khettaf, W.R., Oulamara, A.: Multi-start iterated local search for the mixed fleet vehicle routing problem with heterogenous electric vehicles. In: Ochoa, G., Chicano, F. (eds.) EvoCOP 2015. LNCS, vol. 9026, pp. 138-149. Springer, Heidelberg (2015)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.