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    시간제약과 하역장 용량제약이 있는 차량경로문제에 대한 타부탐색 알고리즘 = A Tabu Search Algorithm for the Vehicle Routing Problem with Time Window and Dock Capacity Constraints

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    https://www.riss.kr/link?id=A104962300

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    We consider a vehicle routing problem with time window and dock capacity constraints (VRPTD). In most traditional models of vehicle routing problems with time window (VRPTW), each customer must be assigned to only one vehicle route. However demand of a customer may exceed the capacity of one vehicle, hence at least two vehicles may need to visit the customer. We assume that each customer has its own dock capacity. Hence, the customer can be served by only a limited number of vehicles simultaneously. Given a depot, customers, their demands, their time windows and dock capacities, VRPTD is to get a set of feasible routes which pass the depot and some customers such that all demands of each customer are satisfied. Since VRPTD is NP-hard, a meta-heuristic algorithm is developed. The algorithm consists of two procedures; the route construction procedure and the route scheduling procedure. We tested the algorithm on a number of instances and computational results are reported.
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    We consider a vehicle routing problem with time window and dock capacity constraints (VRPTD). In most traditional models of vehicle routing problems with time window (VRPTW), each customer must be assigned to only one vehicle route. However demand of ...

    We consider a vehicle routing problem with time window and dock capacity constraints (VRPTD). In most traditional models of vehicle routing problems with time window (VRPTW), each customer must be assigned to only one vehicle route. However demand of a customer may exceed the capacity of one vehicle, hence at least two vehicles may need to visit the customer. We assume that each customer has its own dock capacity. Hence, the customer can be served by only a limited number of vehicles simultaneously. Given a depot, customers, their demands, their time windows and dock capacities, VRPTD is to get a set of feasible routes which pass the depot and some customers such that all demands of each customer are satisfied. Since VRPTD is NP-hard, a meta-heuristic algorithm is developed. The algorithm consists of two procedures; the route construction procedure and the route scheduling procedure. We tested the algorithm on a number of instances and computational results are reported.

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    참고문헌 (Reference)

    1 "지연 비용을 고려한 서비스 시간대가 존재하는 외판원 문제에 대한 발견적 해법" 27 (27): 18-24, 2001

    2 "The Shifting Bottleneck Procedure for Job-Shop Scheduling" 34 (34): 391-401, 1988

    3 "Surrogate Duality Relaxation for Job-Shop Scheduling" 5 (5): 65-75, 1983

    4 "Scheduling the General Job-Shop" 31 (31): 594-598, 1985

    5 "Scheduling of Vehicles from A Central Depot to A Number of Delivery Points" no.4 : 568-581, 1964

    6 "Scheduling Aircraft Landings The Static Case" 34 (34): 2000

    7 "Heuristic Methods for Vehicle Routing Problem with Time Windows" 15 (15): 281-295, 2001

    8 "Future Paths for Integer Programming and Links to Artificial Intelligence" no.5 : 533-549, 1986

    9 "Classification in Vehicle Routing and Scheduling" 11 : 97-108, 1981

    10 "An Optimization-Based Heuristic for Vehicle Routing and Scheduling with Soft Time Window Constraints" 26 (26): 69-85, 1992

    1 "지연 비용을 고려한 서비스 시간대가 존재하는 외판원 문제에 대한 발견적 해법" 27 (27): 18-24, 2001

    2 "The Shifting Bottleneck Procedure for Job-Shop Scheduling" 34 (34): 391-401, 1988

    3 "Surrogate Duality Relaxation for Job-Shop Scheduling" 5 (5): 65-75, 1983

    4 "Scheduling the General Job-Shop" 31 (31): 594-598, 1985

    5 "Scheduling of Vehicles from A Central Depot to A Number of Delivery Points" no.4 : 568-581, 1964

    6 "Scheduling Aircraft Landings The Static Case" 34 (34): 2000

    7 "Heuristic Methods for Vehicle Routing Problem with Time Windows" 15 (15): 281-295, 2001

    8 "Future Paths for Integer Programming and Links to Artificial Intelligence" no.5 : 533-549, 1986

    9 "Classification in Vehicle Routing and Scheduling" 11 : 97-108, 1981

    10 "An Optimization-Based Heuristic for Vehicle Routing and Scheduling with Soft Time Window Constraints" 26 (26): 69-85, 1992

    11 "An Exchange Heuristic Imbedded with Simulated Annealing for Due-Dates Job-Shop Scheduling" no.1 : 99-117, 1994

    12 "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints" 35 (35): 254-265, 1987

    13 "A Tabu Search Algorithm for the Multi-Trip Vehicle Routing and Scheduling Problem" 100 (100): 180-191, 1997

    14 "A Heuristic for Scheduling General Job Shops to Minimize Maximum Lateness" 27 (27): 1-15, 1998

    15 "A Comparison of Dispatching Rules for Job with Multiple Identical Jobs and Alternative Routings" 28 : 953-962, 1990

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2026 평가 재인증평가 신청대상 (재인증)
    2020-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2017-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2013-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2010-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2008-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2006-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2004-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2001-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    1998-07-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.66 0.66 0.69
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.69 0.66 1.157 0.2
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