A novel and efficient exact technique for integrated staffing, assignment, routing, and scheduling of home care services under uncertainty
We model and solve integrated multi-period staffing, assignment, routing, and scheduling of
caregivers for home care services and obtain insights for the case under uncertainty. The …
caregivers for home care services and obtain insights for the case under uncertainty. The …
Adaptive large neighborhood search heuristics for the vehicle routing problem with stochastic demands and weight-related cost
The vehicle routing problem (VRP) with stochastic demands and weight-related cost is an
extension of the VRP. Although some researchers have studied the VRP with either …
extension of the VRP. Although some researchers have studied the VRP with either …
A deterministic annealing local search for the electric autonomous dial-a-ride problem
This paper investigates the Electric Autonomous Dial-A-Ride Problem (E-ADARP), which
consists in designing a set of minimum-cost routes that accommodates all customer requests …
consists in designing a set of minimum-cost routes that accommodates all customer requests …
Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review
CA Vega-Mejía, JR Montoya-Torres… - Annals of Operations …, 2019 - Springer
The current global interest in improving the use of ever-scarcer natural resources calls for
the re-alignment of supply chain operations to include not only economic factors, but …
the re-alignment of supply chain operations to include not only economic factors, but …
Road-based goods transportation: a survey of real-world logistics applications from 2000 to 2015
The vehicle routing problem has been widely studied from a technical point of view for more
than 50 years. Many of its variants are rooted in practical settings. This paper provides a …
than 50 years. Many of its variants are rooted in practical settings. This paper provides a …
A generic spatiotemporal scheduling for autonomous UAVs: A reinforcement learning-based approach
Considerable attention has been given to leverage a variety of smart city applications using
unmanned aerial vehicles (UAVs). The rapid advances in artificial intelligence can empower …
unmanned aerial vehicles (UAVs). The rapid advances in artificial intelligence can empower …
Autonomous data collection with dynamic goals and communication constraints for marine vehicles
In marine robotics, data-collection operations often require an autonomous underwater
vehicle (AUV) to collaborate with an unmanned surface vehicle (USV). The mission for the …
vehicle (AUV) to collaborate with an unmanned surface vehicle (USV). The mission for the …
Efficient implementation of the genetic algorithm to solve rich vehicle routing problems
The aim of this paper is to further study the rich vehicle routing problem (RVRP), which is a
well-known combinatorial optimization problem arising in many transportation and logistics …
well-known combinatorial optimization problem arising in many transportation and logistics …
Is the vehicle routing problem dead? an overview through bioinspired perspective and a prospect of opportunities
Route planning is a research topic in artificial intelligence of paramount importance for a
plethora of applications related to transportation and mobility. Problems related to the …
plethora of applications related to transportation and mobility. Problems related to the …
An ILS-biased randomization algorithm for the two-dimensional loading HFVRP with sequential loading and items rotation
OL Dominguez Rivero, AA Juan Pérez… - Journal of the …, 2016 - Taylor & Francis
This paper discusses the Two-dimensional Loading Vehicle Routing Problem with
Heterogeneous Fleet, Sequential Loading, and Item Rotation (2L-HFVRP-SR). Despite the …
Heterogeneous Fleet, Sequential Loading, and Item Rotation (2L-HFVRP-SR). Despite the …