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Simulation-Based Optimization for the Scheduling of Elective Surgery Under Uncertainty And Downstream Capacity Constraints
(Universidad Nacional del Sur, 2020-02)
The generation of an optimal schedule of elective surgery cases for a hospital surgery services unit is a well-known problem in the operations research field. The complexity of the problem is greatly compounded when ...
A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm
(Elsevier, 2019-01)
Optimization via Simulation (OvS) is an useful optimization tool to find a solution to an optimization problem that is difficult to model analytically. OvS consists in evaluating potential solutions through simulation ...
A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences
(Universidad Nacional del Sur, 2020)
Power supply is one of the basic needs in modern smart homes. Computer-aid tools help optimizing energy utilization, contributing to sustainable goals of modern societies. For this purpose, this article presents a mathematical ...
Hybrid Simulated Annealing for Optimal Cost Instrumentation in Chemical Plants
(Italian Association of Chemical Engineering, 2019)
Process information is the foundation upon which many common tasks in chemical plants are based. To satisfy information requirements regarding its quality and availability, it is essential to locate an appropriate set of ...
Scheduling deferrable electric appliances in Smart Homes: a bi-objective stochastic optimization approach
(American Institute of Mathematical Sciences, 2021-11-08)
In the last decades, cities have increased the number of activities and services that depends on an efficient and reliable electricity service. In particular, households have had a sustained increase of electricity consumption ...
Design and Planning of the Bioethanol Supply Chain Via Simulation-Based Optimization: The Case of Argentina
(Universidade Federal de Santa Catarina, 2012-12)
This paper addresses the strategic planning of bioethanol supply chains (SC) under uncertainty in the demand. The design problem is setting as a reformulation of a multiscenario mixed-integer linear programming (MILP) ...
Conceptual design and simulation tools applied to the evolutionary optimization of a bioethanol purification plant
(American Chemical Society, 2008-10)
We present an evolutionary optimization procedure applied to the design and simulation of the unit operations in a bioethanol purification plant. Conceptual and rigorous models are used; the first are utilized to determine ...
An efficient metamodel-based method to carry out multi-objective building performance optimizations
(Elsevier Science SA, 2020-01)
Nowadays, performing multi-objective optimizations of actual building designs is one of the most challenging problems of the building energy efficiency area. This paper aims to propose an efficient method to solve ...
Baking process design based on modelling and simulation: Towards optimization of bread baking
(Elsevier, 2012-09)
This paper presents a theoretical approach for optimal design of the baking process. Conventional baking of bread was taken as subject of study, and simulation of previously validated models was used to investigate the ...
Solving a multi-objective manufacturing cell scheduling problem with the consideration of warehouses using a simulated annealing based procedure
(Growing Science, 2019-01)
The competition manufacturing companies face has driven the development of novel and efficient methods that enhance the decision making process. In this work, a specific flow shop scheduling problem of practical interest ...