Add to ORKGAbstract – The recently developed Generalized Extremal Optimization (GEO) algorithm is applied for the solution of an inverse problem of radiative properties estimation. A comparison with two other stochastic methods, Simulated Annealing (SA) and Genetic Algorithms (GAs), is also performed, demonstrating that GEO is competitive. From the test case results we could also infer that a hybridization of GEO with gradient based methods is very promising. 1
Genetic algorithms (GAs), global optimization methods that mimic Darwinian evolution are well suited...
O objetivo dos projetos de iluminação de interiores é determinar a posição e o poder luminoso das lâ...
This paper presents basic concepts of inverse and optimization problems. Deterministic and stochasti...
AbstractIn this paper a recently proposed new stochastic method developed to tackle optimization pro...
We discuss the derivation and investigation of efficient mathematical methods for the solution of op...
The radiative transfer phenomenon is modeled by an integro-differential equation known as Boltzmann ...
In the last decades, an increasing number of global optimization algorithms has been proposed to sol...
Genetic Algorithms and Neural Networks are relatively new techniques for optimization and estimation...
Abstract. In this paper, a new hybrid evolutionary strategy is used to the in-verse design of a spac...
The Generalized Extremal Optimization (GEO) is a new evolutionary algorithm devised to tackle comple...
This paper presents basic concepts of inverse and optimization problems. Deterministic and stochasti...
Inverse problems are usually ill-posed, and therefore affected by the noise which is al-ways present...
The spatial and spectral treatment of electromagnetic fields express an essential operation regardin...
For optimization of various electromagnetic devices an optimization method which efficiently optimiz...
ospa eon il, in r 4 D types of radiation measurements [2–4]. Unfortunately the solution obtained fro...
Genetic algorithms (GAs), global optimization methods that mimic Darwinian evolution are well suited...
O objetivo dos projetos de iluminação de interiores é determinar a posição e o poder luminoso das lâ...
This paper presents basic concepts of inverse and optimization problems. Deterministic and stochasti...
AbstractIn this paper a recently proposed new stochastic method developed to tackle optimization pro...
We discuss the derivation and investigation of efficient mathematical methods for the solution of op...
The radiative transfer phenomenon is modeled by an integro-differential equation known as Boltzmann ...
In the last decades, an increasing number of global optimization algorithms has been proposed to sol...
Genetic Algorithms and Neural Networks are relatively new techniques for optimization and estimation...
Abstract. In this paper, a new hybrid evolutionary strategy is used to the in-verse design of a spac...
The Generalized Extremal Optimization (GEO) is a new evolutionary algorithm devised to tackle comple...
This paper presents basic concepts of inverse and optimization problems. Deterministic and stochasti...
Inverse problems are usually ill-posed, and therefore affected by the noise which is al-ways present...
The spatial and spectral treatment of electromagnetic fields express an essential operation regardin...
For optimization of various electromagnetic devices an optimization method which efficiently optimiz...
ospa eon il, in r 4 D types of radiation measurements [2–4]. Unfortunately the solution obtained fro...
Genetic algorithms (GAs), global optimization methods that mimic Darwinian evolution are well suited...
O objetivo dos projetos de iluminação de interiores é determinar a posição e o poder luminoso das lâ...
This paper presents basic concepts of inverse and optimization problems. Deterministic and stochasti...