The main goal of this thesis was to design new parallel processing strategies specially conceived for distributed environments in order to solve numerical and structural problems from the field of process systems engineering more efficiently. More specifically, the numerical sample problem addressed in this work was the optimization of nonlinear objective functions subjected to sets of nonlinear constraints, while the structural sample problem was the development of parallel-distributed structural techniques for process instrumentation designResumen de la tesis presentada por el autor en el 2002 para la obtención del título de Doctor en Ciencias de la Computación por la Universidad Nacional del Sur.Facultad de Informátic
The judicious exploitation of the inherent optimization capabilities of the Spectral-Projected-Gradi...
Several heuristic optimization algorithms have been applied to solve engineering problems. Most of t...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
The main goal of this thesis was to design new parallel processing strategies specially conceived fo...
A common approach to the design and implementation of parallel optimization algorithms is the a post...
This paper presents the general framework of a parallel cooperative hyper-heuristic optimizer (PCHO)...
Chemical processes are usually expensive to run. To optimise a process, we need to know how the proc...
Large scale nonlinear programming (NLP) has proven to be an effective framework for obtaining profit...
Uma metodologia para desenvolvimento de programas paralelos eficientes deve especificar mecanismos c...
Este trabalho tem o intuito de fazer uso do processamento paralelo na análise não linear de cascas p...
The considerable increase in computation of the optimal control problems has in many cases overflowe...
In this work we present the parallelisation of the global strategy with first least-connected node (...
Este trabalho aborda a utilização de computadores paralelos no processamento de problemas de análise...
The growing processing power of standard workstations, along with the relatively easy way in which t...
This project addresses a set of problems that require intensive computation and that come from diffe...
The judicious exploitation of the inherent optimization capabilities of the Spectral-Projected-Gradi...
Several heuristic optimization algorithms have been applied to solve engineering problems. Most of t...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
The main goal of this thesis was to design new parallel processing strategies specially conceived fo...
A common approach to the design and implementation of parallel optimization algorithms is the a post...
This paper presents the general framework of a parallel cooperative hyper-heuristic optimizer (PCHO)...
Chemical processes are usually expensive to run. To optimise a process, we need to know how the proc...
Large scale nonlinear programming (NLP) has proven to be an effective framework for obtaining profit...
Uma metodologia para desenvolvimento de programas paralelos eficientes deve especificar mecanismos c...
Este trabalho tem o intuito de fazer uso do processamento paralelo na análise não linear de cascas p...
The considerable increase in computation of the optimal control problems has in many cases overflowe...
In this work we present the parallelisation of the global strategy with first least-connected node (...
Este trabalho aborda a utilização de computadores paralelos no processamento de problemas de análise...
The growing processing power of standard workstations, along with the relatively easy way in which t...
This project addresses a set of problems that require intensive computation and that come from diffe...
The judicious exploitation of the inherent optimization capabilities of the Spectral-Projected-Gradi...
Several heuristic optimization algorithms have been applied to solve engineering problems. Most of t...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...