Now showing items 11-20 of 10656
Distributed Solution of Simulation-Based Optimization Problems on Networks of Workstation
(Computación y Sistemas, 2009)
AVERAGE CONTINUOUS CONTROL OF PIECEWISE DETERMINISTIC MARKOV PROCESSES
(SIAM PUBLICATIONS, 2010)
This paper deals with the long run average continuous control problem of piecewise deterministic Markov processes (PDMPs) taking values in a general Borel space and with compact action space depending on the state variable. ...
Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines
This paper focuses on the optimization of the specific total annual cost (operating costs and investments) of a post-combustion CO2 capture plant with chemical absorption and on the sensitivity analyses of all of the model ...
Probability-Based Design of Experiments for Batch Process Optimization with End-Point Specifications
(American Chemical Society, 2016-01)
Consistently complying with end-point specifications, mainly end-use product properties, is a key issue to thecompetitiveness of batch processes. To maximize in some way the probability of observing successful runs, a ...
Neural approach for solving several types of optimization problems
Neural networks consist of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of recurrent neural net-works that ...
Comparative analysis of strut-and-tie models using Smooth Evolutionary Structural Optimization
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
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
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 ...