Results 121 to 130 of about 52,555 (294)
A fast metaheuristic approach for the planar multiple obnoxious facility location problem
International Transactions in Operational Research, EarlyView.Abstract The multiple obnoxious facility location problem is one of the most studied problems in the literature of the obnoxious facility location problems family. In this work, we propose an alternative algorithmic approach for this problem, based on an efficient metaheuristic procedure over a discretization of the plane based on Voronoi diagrams ...
Sergio Salazar +2 more
wiley +1 more source
Current Trends in Simheuristics: from smart transportation to agent-based simheuristics [PDF]
, 2018 Simheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal efficiently with scenarios under uncertainty.
Estrada-Moreno, Alejandro +4 more
core
International Transactions in Operational Research, EarlyView.Abstract In this paper, we address the problem of routing a fleet of electric vehicles (EVs) to serve a set of customers, geographically distributed, within their time windows. We assume that EVs may also be recharged en route, and the amount of energy recharged at a recharging station (RS) is a decision variable itself, that is, partial recharges are ...
Maurizio Bruglieri +3 more
wiley +1 more source
Integrated location–inventory planning for slow‐moving demands with waiting time limitations
International Transactions in Operational Research, EarlyView.Abstract This paper studies a stochastic facility location problem integrated with inventory and transportation decisions (SFLPIT) for supply chains with slow‐moving stock‐keeping units (SKUs). Local stores often avoid maintaining such SKUs, resulting in customer demand being fulfilled directly by a central distribution center (DC), where the ...
Jie Chu +4 more
wiley +1 more source
Quokka swarm optimization: A new nature-inspired metaheuristic optimization algorithm
Journal of Intelligent SystemsMetaheuristics are efficient algorithms designed to address a broad spectrum of optimization challenges and offer satisfactory solutions, even in scenarios of limited processing capability or incomplete information.
AL-kubaisy Wijdan Jaber +1 more
doaj +1 more source
AI-driven hybrid metaheuristic neural network approaches for medical diagnostics
Systems and Soft ComputingIn recent years, metaheuristic algorithms have gained prominence as powerful computational techniques for solving complex optimization problems across various domains, including healthcare.
Abdullah Khan +2 more
doaj +1 more source
Two-Stage Metaheuristic Algorithms for Order-Batching and Routing Problems [PDF]
, 2022 Gen-Han Wu +2 more
openalex +1 more source
A matheuristic for the traveling salesman problem with positional consistency constraints
International Transactions in Operational Research, EarlyView.Abstract We propose a matheuristic for the traveling salesman problem with positional consistency constraints, where we seek to generate a set of routes with minimum total cost, in which the nodes visited in more than one route (consistent nodes) must occupy the same relative position in all routes.
Luís Gouveia, Ana Paias, Mafalda Ponte
wiley +1 more source
Novel Metaheuristic: Spy Algorithm
IEICE Transactions on Information and Systems, 2022 Dhidhi Pambudi, Masaki Kawamura
openaire +3 more sources
A unified formulation for home healthcare routing and scheduling problems
International Transactions in Operational Research, EarlyView.Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients' homes to deliver services. While presenting advantages with respect to institutional care, such as being cost‐effective and alleviating family burdens, it presents challenges in scheduling and routing caregivers efficiently.
Sara Ceschia +7 more
wiley +1 more source