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Journal ArticleDOI

Vehicle Routing Problem: Simultaneous Deliveries and Pickups with Split Loads and Time Windows

TLDR
In this article, the authors formulated the vehicle routing problem of simultaneous deliveries and pickups with split loads and time windows (VRPSDPSLTW) as a mixed-integer programming problem and developed a hybrid heuristic algorithm to solve this problem.
Abstract
The vehicle routing problem with simultaneous deliveries and pickups (VRPSDP) has attracted much research interest because of the potential to provide cost savings to transportation and logistics operators. Several extensions of VRPSDP exist. Of these extensions, the simultaneous deliveries and pickups with split loads problem (SDPSLP) has been proposed to eliminate vehicle capacity constraints, as well as allow the deliveries or pickups for a customer to be split into multiple visits. Although delivery and pickup activities are often constrained by time windows, few studies have considered such constraints when SDPSLP has been addressed. To fill the gap, this paper formulates the vehicle routing problem of simultaneous deliveries and pickups with split loads and time windows (VRPSDPSLTW) as a mixed-integer programming problem. A hybrid heuristic algorithm was developed to solve this problem. Solomon data sets with minor modifications were applied to test the effectiveness of the solution algorithm. The r...

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Citations
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Journal ArticleDOI

Implicit depot assignments and rotations in vehicle routing heuristics

TL;DR: A dynamic programming methodology for efficiently evaluating compound neighborhoods combining sequence-based moves with an optimal choice of vehicle and depot, and an optimal determination of the first customer to be visited in the route, called rotation is introduced.
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The school bus routing and scheduling problem with transfers

TL;DR: The results show that allowing transfers reduces total operating costs significantly while average and maximum user ride times are comparable to solutions without transfers.
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Combining statistical learning with metaheuristics for the Multi-Depot Vehicle Routing Problem with market segmentation

TL;DR: This paper considers this realistic version of the Multi-Depot Vehicle Routing Problem with heterogeneous depots, in which the depots are heterogeneous in terms of their commercial offer and customers show different willingness to consume depending on how well the assigned depot fits their preferences.
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New exact method for large asymmetric distance-constrained vehicle routing problem

TL;DR: An old branch-and-bound method for solving the asymmetric distance–constrained vehicle routing problem suggested by Laporte et al. in 1987 is revised and modified and capable of solving the largest instances ever solved in the literature.
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A cooperative parallel metaheuristic for the capacitated vehicle routing problem

TL;DR: In this article, a cooperative parallel metaheuristic for the capacitated vehicle routing problem is proposed, which consists of multiple parallel tabu search threads that cooperate by asynchronously exchanging best-found solutions through a common solution pool.
References
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Journal ArticleDOI

Algorithms for the vehicle routing and scheduling problems with time window constraints

TL;DR: This paper considers the design and analysis of algorithms for vehicle routing and scheduling problems with time window constraints and finds that several heuristics performed well in different problem environments; in particular an insertion-type heuristic consistently gave very good results.
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Computer solutions of the traveling salesman problem

TL;DR: Two algorithms for solving the (symmetric distance) traveling salesman problem have been programmed for a high-speed digital computer and are based on a general heuristic approach believed to be of general applicability to various optimization problems.
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The vehicle routing problem: An overview of exact and approximate algorithms

TL;DR: In this paper, some of the main known results relative to the Vehicle Routing Problem are surveyed.
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Savings by Split Delivery Routing

TL;DR: This paper examines a relaxed version of the generic vehicle routing problem, in which a delivery to a demand point can be split between any number of vehicles, and demonstrates the potential for cost savings through split deliveries.
Journal ArticleDOI

Solving the pickup and delivery problem with time windows using reactive tabu search

TL;DR: In this article, a reactive tabu search approach is proposed to solve the pickup and delivery problem with time windows using three distinct move neighborhoods that capitalize on the dominance of the precedence and coupling constraints.
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