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Comparative analysis of strut-and-tie models using Smooth Evolutionary Structural Optimization
(2013-11-01)
The strut-and-tie models are widely used in certain types of structural elements in reinforced concrete and in regions with complexity of the stress state, called regions D, where the distribution of deformations in the ...
Alternate approximation of concave cost functions for process design and supply chain optimization problems
(Elsevier, 2014-01)
This short note presents an alternate approximation of concave cost functions used to reflect economies of scale in process design and supply chain optimization problems. To approximate the original concave function, we ...
Steady-state target optimization designs for integrating real-time optimization and model predictive control
(Elsevier, 2013-12)
In industrial practice, the optimal steady-state operation of continuous-time processes is typically addressed by a control hierarchy involving various layers. Therein, the Real-Time Optimization (RTO) layer computes the ...
The Policy Iteration Algorithm for Average Continuous Control of Piecewise Deterministic Markov Processes
(SPRINGER, 2010)
The main goal of this paper is to apply the so-called policy iteration algorithm (PIA) for the long run average continuous control problem of piecewise deterministic Markov processes (PDMP`s) taking values in a general ...
Optimal synthesis of Fenton reactor networks for phenol degradation
(INST CHEMICAL ENGINEERS, 2011)
There is an increasing need to treat effluents contaminated with phenol with advanced oxidation processes (AOPs) to minimize their impact on the environment as well as on bacteriological populations of other wastewater ...
Multi-objective optimization and finite element method combined with optimization via Monte Carlo simulation in a stamping process under uncertainty
(2021-11-01)
The response surface methodology (RSM), which uses a quadratic empirical function as an approximation to the original function and allows the identification of relationships between independent variables xi and dependent ...
Simplex optimization of a programmed temperature capillary gas chromatographic separation
(1991-01-01)
The modified simplex algorithm proposed by Nelder and Mead has been used to optimize the separation by temperature programmed capillary GC, of volatile compounds present in alcoholic beverages. An adequate objective function, ...
SINGULARLY PERTURBED DISCOUNTED MARKOV CONTROL PROCESSES IN A GENERAL STATE SPACE
(SIAM PUBLICATIONSPHILADELPHIA, 2012)
This paper studies the asymptotic optimality of discrete-time Markov decision processes (MDPs) with general state space and action space and having weak and strong interactions. By using a similar approach as developed by ...
Optimal operating policies for tailored linear polyethylene resins production
(John Wiley & Sons IncHobokenEUA, 2008)
Freeze drying process: real time model and optimization
(Elsevier Science SaLausanneSuíça, 2004)