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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 ...
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 ...
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 ...
Model-based run-to-run optimization for process development
(Brazilian Society of Chemical Engineering, 2018-07)
Research and development of new processes is a fundamental part of any innovative industry. For process engineers, finding optimal operating conditions for new processes from the early stages is a main issue, since it ...
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 ...
Autonomous tuning for constraint programming via artificial bee colony optimization
(Springer Verlag, 2015)
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 ...