Results 51 to 60 of about 200 (108)
A discrete-event simheuristic for enhancing urban mobility
Simulation Modelling Practice and TheoryThis paper addresses a rich variant of the team orienteering problem under uncertainty to improve urban mobility. Specifically, we conduct a case study using real-world data from urban transportation hubs in Barcelona, gathered from Open Data Barcelona.
Peyman, Mohammad +3 more
openaire +2 more sources
, 2020 Many decision-making processes in our society involve NP-hard optimization problems. The largescale, dynamism, and uncertainty of these problems constrain the potential use of stand-alone optimization methods. The same applies for isolated simulation models, which do not have the potential to find optimal solutions in a combinatorial environment.
Chica, Manuel +4 more
openaire +1 more source
Stochastic Runway Scheduling using Simheuristics
, 2023 Runway scheduling (also known as “aircraft sequencing”) problems involve micromanaging the sequences of landings and take-offs at an airport in order to reduce costly flight delays.
Zografos, K. G. +2 more
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Optimizing transportation systems and logistics network configurations: from biased-randomized algorithms to fuzzy simheuristics [PDF]
, 2022 Transportation and logistics (T&L) are currently highly relevant functions in any competitive industry. Locating facilities or distributing goods to hundreds or thousands of customers are activities with a high degree of complexity, regardless of whether
Tordecilla Madera, Rafael David
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A Forward–Backward Simheuristic for the Stochastic Capacitated Dispersion Problem
MathematicsIn an effort to balance the distribution of services across a given territory, dispersion and diversity models typically aim to maximize the minimum distance between any pair of facilities. Specifically, in the capacitated dispersion problem (CDP), each facility has an associated capacity or level of service, and the objective is to select a set of ...
Juan F. Gomez +4 more
openaire +6 more sources
A multi-start simheuristic for the stochastic two-dimensional vehicle routing problem [PDF]
2016 Winter Simulation Conference (WSC), 2016 The two-dimensional vehicle routing problem (2L-VRP) is a realistic extension of the classical vehicle routing problem where customers’ demands are composed by sets of non-stackable items. Examples of such problems can be found in many real-life applications, e.g. furniture or industrial machinery transportation.
Guimarans, Daniel +9 more
openaire +4 more sources
Applications of biased randomised algorithms and simheuristics to asset and liability management [PDF]
, 2022 Asset and Liability Management (ALM) has captured the attention of academics and financial researchers over the last few decades. On the one hand, we need to try to maximise our wealth by taking advantage of the financial market and, on the other hand ...
Nieto Ranero, Armando Miguel
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, 2019 Supply chain operations have become more complex. Hence, in order to optimise supply chain operations, we often need to simplify the optimisation problem in such a way that it can be solved efficiently using either exact methods or metaheuristics.
Javier Panadero +9 more
core +1 more source
, 2017 From smart cities to factories and business, many decision-making processes in our society involve NP-hard optimization problems. In a real environment, these problems are frequently large-scale, which limits the potential of exact optimization methods ...
Kelton, W. David +3 more
core +1 more source
This code corresponds to a tutorial paper that provides a step-by-step guideline to connect the FlexSim commercial simulator with the popular Python programming language via sockets.
Fuentes León, Jonás
core +1 more source