Differential evolution (DE) is a powerful population-based stochastic optimization algorithm, which has demonstrated high efficacy in various scientific and engineering applications. Among numerous variants of DE, self-adaptive differential evolution (SaDE) features the automatic adaption of the employed ...
Differential evolution algorithm on the GPU with C-CUDA the reduction of the computing time by using the technology of Graphics Processing Units (GPU) and the Compute Unified Device Architecture (CUDA) platform... LPD Veronese,RA Krohling - IEEE ...
This work proposes to study a parallel multi-objective algorithm, the multi-objective version of Differential Evolution (DE). The generation of trial individuals can be done in parallel, greatly reducing the overall processing time of the algorithm. A novel approach to parallelize this algorithm is...
analytical programmingspectra analysisCUDAevolutionary algorithmdifferential evolutionparallel implementationsymbolic regressionIn this paper we discuss a method useful for spectra analysis 鈥 analytical programming and its implementation. Our goal is to create mathematical formulas of emission lines from spectra,...