Results 11 to 20 of about 113 (88)
Simheuristics Approaches for Efficient Decision-Making Support in Materials Trading Networks [PDF]
Algorithms, 2021 The distribution process in business-to-business materials trading is among the most complex and in transparent ones within logistics. The highly volatile environment requires continuous adaptations by the responsible decision-makers, who face a ...
Markus Rabe +3 more
doaj +2 more sources
A simheuristic‐based algorithm for the stochastic long‐term maintenance scheduling problem
International Transactions in Operational Research, Volume 33, Issue 1, Page 268-296, January 2026.Abstract This work addresses the problem of assigning preventive maintenance jobs in a 52‐week planning horizon. Given a set of machines that need preventive maintenance, a set of maintenance jobs in these machines, a set of work teams, and a planning horizon, the problem consists of assigning each job to a work team in a given instant of the planning ...
Diego G. Coelho +2 more
wiley +3 more sources
A Simheuristic Algorithm for Service Placement in Community Networks [PDF]
2020 Winter Simulation Conference (WSC), 2020 This work has been partially supported by the Spanish Ministry of Science, Innovation and Universities under contract PGC2018-097599-B-100 and by the Spanish State Research Agency (AEI) under contracts PCI2019-111850-2 and PCI2019-111851-2.
Javier Panadero +5 more
openaire +1 more source
A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling
IEEE Access, 2023 The following interdisciplinary article presents a memetic algorithm with deep reinforcement learning (DRL) for solving practically oriented dual resource constrained flexible job shop scheduling problems (DRC-FJSSP).
Felix Grumbach +3 more
doaj +1 more source
A Fuzzy Simheuristic for the Permutation Flow Shop Problem under Stochastic and Fuzzy Uncertainty
Mathematics, 2022 Stochastic, as well as fuzzy uncertainty, can be found in most real-world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging.
Juliana Castaneda +4 more
doaj +1 more source
Algorithms, 2023 In the field of logistics and transportation (L&T), this paper reviews the utilization of simheuristic algorithms to address NP-hard optimization problems under stochastic uncertainty. Then, the paper explores an extension of the simheuristics concept by
Angel A. Juan +5 more
doaj +1 more source
Determining Reliable Solutions for the Team Orienteering Problem with Probabilistic Delays
Mathematics, 2022 In the team orienteering problem, a fixed fleet of vehicles departs from an origin depot towards a destination, and each vehicle has to visit nodes along its route in order to collect rewards.
Erika M. Herrera +4 more
doaj +1 more source
Solving the time capacitated arc routing problem under fuzzy and stochastic travel and service times
Networks, Volume 82, Issue 4, Page 318-335, December 2023., 2023 Abstract Stochastic, as well as fuzzy uncertainty, can be found in most real‐world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging. In this paper we propose a fuzzy simheuristic to solve the Time Capacitated Arc Routing Problem (TCARP) when the nature of the travel time can either be ...
Xabier A. Martin +4 more
wiley +1 more source
On the role of metaheuristic optimization in bioinformatics
International Transactions in Operational Research, Volume 30, Issue 6, Page 2909-2944, November 2023., 2023 Abstract Metaheuristic algorithms are employed to solve complex and large‐scale optimization problems in many different fields, from transportation and smart cities to finance. This paper discusses how metaheuristic algorithms are being applied to solve different optimization problems in the area of bioinformatics. While the text provides references to
Laura Calvet +3 more
wiley +1 more source
The location routing problem with facility sizing decisions
International Transactions in Operational Research, Volume 30, Issue 2, Page 915-945, March 2023., 2023 Abstract The location routing problem (LRP) integrates operational decisions on vehicle routing operations with strategic decisions on the location of the facilities or depots from which the distribution will take place. In other words, it combines the well‐known vehicle routing problem (VRP) with the facility location problem (FLP).
Rafael D. Tordecilla +4 more
wiley +1 more source