A comparative study of the application of differential evolution and simulated annealing in radiative transfer problems

Design of a robotic device actuated by cables for human lower limb rehabilitation using self-adaptive differential evolution and robust optimization

“…The DE algorithm has been applied with success both to mono and multi-objective problems (STORN; PRICE, 1995) in various research fields. As examples, we can mention the solution of multiobjective optimal control problems with index fluctuation applied to fermentation process , digital filter design (STORN; PRICE, 1995), synthesis and optimization of heat integrated distillation system (BABU; SINGH, 2000), multi-objective optimization of mechanical structures (LOBATO; , solution of inverse radiative transfer problems in two-layer participating media (LOBATO et al, 2008a), estimation of drying parameters in rotary dryers (LOBATO et al, 2008b), apparent thermal diffusivity estimation of the drying of fruits (MARIANI et al, 2008), Gibbs free energy minimization in a real system (LOBATO et al, 2009), estimation of spacedependent single scattering albedo in radiative transfer problems (LOBATO et al, 2010a;2010b;2010c), design of fractional order PID controllers (BISWAS et al, 2009), other interesting applications (STORN et al, 2005;DAS;SUGANTHAN, 2011), and in the identification problem associated to rotating machines (CAVALINI Jr et al, 2012).…”

A Comparative Study Using Shuffled Complex Evolution and Differential Evolution Applied to Robotic Manipulator Design

“…DE has been successfully tested in various fields, such as: solution of multi-objective optimal control problems with index fluctuation applied to fermentation process [17], digital filter design [33], multi-objective optimization of mechanical structures [18], solution of inverse radiative transfer problems in two-layer participating media [19], estimation of drying parameters in rotary dryers [20], apparent thermal diffusivity estimation of the drying of fruits [25], Gibbs free energy minimization in a real system [21], estimation of space-dependent single scattering albedo in radiative transfer problems [22,23,24], design of fractional order PID controllers [5], and other applications [9,31,32].…”

Application of Simulated Annealing and Hybrid Methods in the Solution of Inverse Heat and Mass Transfer Problems

“…Traditionally, this kind of problem has been treated by using either classical or deterministic optimization techniques (Baltes et al, 1994;Cazzador and Lubenova, 1995;Su and Silva Neto, 2001;Özişik 1993ab, 1994;Yan et al, 2008;Yang et al, 2009). In the recent years however, the use of non-deterministic techniques or the coupling of these techniques with classical approaches thus forming a hybrid methodology became very popular due to the simplicity and robustness of evolutionary techniques (Wang et al, 2001;Soeiro, 2002, 2003;Lobato and Steffen Jr., 2007;Lobato et al, 2008Lobato et al, , 2009Lobato et al, , 2010. The solution of inverse problems has several relevant applications in engineering and medicine.…”

“…Two strong motivations for the solution of such inverse problems in recent years have been the biomedical and oceanographic applications (McCormick, 1993, Sundman et al, 1998, Kauati et al, 1999, Carita Montero et al, 1999, 2000. The increasing interest on inverse problems (IP) is due to the large number of practical applications in scientific and technological areas such as tomography (Kim and Charette, 2007), environmental sciences (Hanan, 2001) and parameter estimation (Souza et al, 2007;Lobato et al, 2008Lobato et al, , 2009Lobato et al, , 2010, to mention only a few. In the radiative problems context, the inverse problem consists in the determination of radiative parameters through the use of experimental data for minimizing the residual between experimental and calculated values.…”