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Convolutional neural networks ensembles through single-iteration optimization
(2022-01-01)
Convolutional Neural Networks have been widely employed in a diverse range of computer vision-based applications, including image classification, object recognition, and object segmentation. Nevertheless, one weakness of ...
Extension of modifier adaptation for controlled plants using static open-loop models
(Pergamon-Elsevier Science Ltd, 2016-10)
Model-based optimization methods suffer from the limited accuracy of the available process models. Because of plant-model mismatch, model-based optimal inputs may be suboptimal or, worse, unfeasible for the plant. Modifier ...
Optimizing urban traffic flow using genetic algorithm with petri net analysis as fitness function
(2013)
This paper describes a new methodology adopted for urban traffic stream optimization. By using Petri net analysis as fitness function of a Genetic Algorithm, an entire urban road network is controlled in real time. With ...
Incorporating weights into real-time heuristic search
(Elsevier, 2015)
OPTIMALITY ON HOMOGENEOUS SPACES, AND THE ANGLE SYSTEM ASSOCIATED WITH A BILINEAR CONTROL SYSTEM
(Siam PublicationsPhiladelphiaEUA, 2009)
One-layer gradient-based MPC + RTO of a propylene/propane splitter
(Pergamon-Elsevier Science Ltd, 2017-11)
Here, the implementation of the gradient-based Economic MPC (Model Predictive Control) in an industrial distillation system is studied. The approach is an alternative to overcome the conflict between the MPC and RTO (Real ...
Machine learning methods applied to drilling rate of penetration prediction and optimization - A review
(2019-12-01)
Drilling wells in challenging oil/gas environments implies in large capital expenditure on wellbore's construction. In order to optimize the drilling related operation, real-time decisions making have been put in place, ...
An efficient MILP continuous-time formulation for short-term scheduling of multiproduct continuous facilities
(Pergamon-Elsevier Science Ltd., 2002-12)
This paper presents a new MILP mathematical formulation for the scheduling of resource-constrained multiproduct plants involving continuous processes. In such facilities, a sequence of continuous processing steps is usually ...
Integrating packing and distribution problems and optimization through mathematical programming
(Growing Science, 2016-10)
This paper analyzes the integration of two combinatorial problems that frequently arise in production and distribution systems. One is the Bin Packing Problem (BPP) problem, which involves finding an ordering of some objects ...
Molecular assay optimized by Taguchi experimental design method for venous thromboembolism investigation
(Academic Press Ltd Elsevier B.V. Ltd, 2011-10-01)
Two mutations - Factor V Leiden (1691G > A) and the 20210G > A on the Prothrombin gene - are key risk factors for a frequent and potentially fatal disorder called Venous Thromboembolism. These molecular alterations can be ...