Results 1 to 10 of about 113 (88)
Applying Simheuristics to Minimize Overall Costs of an MRP Planned Production System [PDF]
Algorithms, 2022 Looking at current enterprise resource planning systems shows that material requirements planning (MRP) is one of the main production planning approaches implemented there.
Klaus Altendorfer +2 more
exaly +9 more sources
Optimization of Vehicular Networks in Smart Cities: From Agile Optimization to Learnheuristics and Simheuristics [PDF]
Sensors, 2023 Vehicular ad hoc networks (VANETs) are a fundamental component of intelligent transportation systems in smart cities. With the support of open and real-time data, these networks of inter-connected vehicles constitute an ‘Internet of vehicles’ with the ...
Fatos Xhafa +2 more
exaly +4 more sources
Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends
Logistics, 2022 Background: Uncertainty conditions have been increasingly considered in optimization problems arising in real-life transportation and logistics activities.
Javier Panadero +2 more
exaly +8 more sources
Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios [PDF]
Mathematics, 2020 Simheuristics combine metaheuristics with simulation in order to solve the optimization problems with stochastic elements. This paper introduces the concept of fuzzy simheuristics, which extends the simheuristics approach by making use of fuzzy ...
Diego Oliva +2 more
exaly +6 more sources
Operations Research Perspectives, 2015 Many combinatorial optimization problems (COPs) encountered in real-world logistics, transportation, production, healthcare, financial, telecommunication, and computing applications are NP-hard in nature. These real-life COPs are frequently characterized
Gonçalo Figueira +2 more
exaly +7 more sources
A Db-Scan Binarization Algorithm Applied to Matrix Covering Problems. [PDF]
Comput Intell Neurosci, 2019 The integration of machine learning techniques and metaheuristic algorithms is an area of interest due to the great potential for applications. In particular, using these hybrid techniques to solve combinatorial optimization problems (COPs) to improve the quality of the solutions and convergence times is of great interest in operations research.
García J +8 more
europepmc +2 more sources
Applied Sciences (Switzerland), 2021 In the context of logistics and transportation, this paper discusses how simheuristics can be extended by adding a fuzzy layer that allows us to deal with complex optimization problems with both stochastic and fuzzy uncertainty.
Leandro DO CARMO MARTINS +2 more
exaly +3 more sources
International Transactions in Operational ResearchAbstract The team orienteering problem (TOP) is an NP‐hard optimization problem with an increasing number of potential applications in smart cities, humanitarian logistics, wildfire surveillance, etc. In the TOP, a fixed fleet of vehicles is employed to obtain rewards by visiting nodes in a network.
Javier Panadero, Elnaz Ghorbani
exaly +2 more sources
A Discrete-Event Simheuristic for Solving a Realistic Storage Location Assignment Problem
Mathematics, 2023 In the context of increasing complexity in manufacturing and logistic systems, the combination of optimization and simulation can be considered a versatile tool for supporting managerial decision-making.
Jonas F. Leon +4 more
doaj +1 more source
The Stochastic Team Orienteering Problem with Position-Dependent Rewards
Mathematics, 2022 In this paper, we analyze both the deterministic and stochastic versions of a team orienteering problem (TOP) in which rewards from customers are dynamic. The typical goal of the TOP is to select a set of customers to visit in order to maximize the total
Javier Panadero +3 more
doaj +1 more source