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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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Proceedings ArticleDOI

Modeling the best route and truck capacity for delivering ice cream product: Vehicle routing problem approach and estimating expected interruption cost approach

TL;DR: In this paper, the authors used a Vehicle Routing Problem (VRP) approach to find the optimal combination of the number of trucks related with their capacity and also to find a set of delivery regions and routes that satisfying some requirements or constraints and giving minimal total cost.
Journal ArticleDOI

Auction algorithm sensitivity for multi-robot task allocation

TL;DR: In this article , the authors consider the problem of finding a low-cost allocation and ordering of tasks between a team of robots in a d-dimensional, uncertain, landscape, and the sensitivity of this solution to changes in the cost function.
DissertationDOI

Hybrid Offline/Online Methods for Optimization Under Uncertainty

De Filippo, +1 more
TL;DR: This work considers multi-stage optimization problems under uncertainty, and proposes different methods that have broad applicability that can be applied to a variety of practical application scenarios in very different domains with both discrete and numeric decision variables.
Journal ArticleDOI

A Tailored Meta-Heuristic for the Autonomous Electric Vehicle Routing Problem Considering the Mixed Fleet

TL;DR: In this article , the optimization problem of a heterogeneous fleet that consists of autonomous electric vehicles (AEVs) and conventional vehicles (CVs) in a Business-to-Consumer (B2C) distribution system is addressed.
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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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