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Synthesis and optimization of Kraft process evaporator plants
(Universidade Federal de Minas GeraisBrasilENG - DEPARTAMENTO DE ENGENHARIA QUÍMICAPrograma de Pós-Graduação em Engenharia QuímicaUFMG, 2021-03-09)
In this dissertation, a novel methodology based on process superstructures for the synthesis and optimization of multiple-effect evaporation systems is described. The methodology allows for the structure and heat transfer ...
Optimization of thermal processing of canned mussels
(Sage Publications Ltd, 2011-10)
The design and optimization of thermal processing of solid–liquid food mixtures, such as canned mussels, requires the knowledge of the thermal history at the slowest heating point. In general, this point does not coincide ...
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 ...
A migrating birds optimization algorithm for machine-part cell formation problems
(Springer Verlag, 2015)
Process analysis and optimization mapping through design of experiments and its application to a polymerization process
(2011)
The technique of experimental design is used on an ethylene polymerization process model in order to map the feasible optimal region as preliminary information for process optimization. Through the use of this statistical ...
Neural approach for solving several types of optimization problems
(Springer, 2006-03-01)
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 ...
Neural approach for solving several types of optimization problems
(Springer, 2006-03-01)
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 ...