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Enhanced procedure to setup the simulation bounding box and the meshing scheme of a 3D finite element EM simulator for planar microwave structures
(IEEE MTT-S International Microwave Symposium Digest, 2017)
Simulation Optimization for Operating Room Scheduling
(2015)
This paper presents a case study on operating room scheduling in a small hospital in Chile. Patient flow was represented using a discrete-event simulation model that considered the randomness associated with the primary ...
Simulation Optimization for Operating Room Scheduling
(2015)
This paper presents a case study on operating room scheduling in a small hospital in Chile. Patient flow was represented using a discrete-event simulation model that considered the randomness associated with the primary ...
Self-optimization of dense wireless sensor networks based on simulated annealing
(2012-10-05)
Wireless sensor network (WSN) Is a technology that can be used to monitor and actuate on environments in a non-intrusive way. The main difference from WSN and traditional sensor networks is the low dependability of WSN ...
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 ...
Agent-based optimisation of public transport supply and pricing: impacts of activity scheduling decisions and simulation randomness
(Springer, 2015)
The optimal setting of public transport pricing and supply levels has been
traditionally analysed with analytical models that combine the objectives of users, service
providers and decision makers in optimisation problems. ...
Simulation-optimization techniques for closed-loop supply chain design with multiple objectives
(DYNA, 2018)
This paper presents a methodology for determining the optimal supply chain design with economic, environmental and risk management considerations. A multi-objective model based on mixed integer programming is proposed ...
Nonconvexity in optimal control problems: an approach by automated numerical simulations
(Universidade Estadual Paulista (Unesp), 2018-05-25)
Esta Tese de Doutorado é composta pelo estudo da aplicação de simulações numéricas automatizadas para solucionar problemas de controle ótimo (PCO) não convexos. Um algoritmo para tratar PCOs não convexos é apresentado como ...