... structural response functions, following the theory of propagation of moments and without violating the fundamental principles presented by Sobol’. An evolutionary algorithm capable of global convergence in reliability assessment is instrumented with the Sobol’ indices. A threshold parameter is introduced...

... be contacted at: adrian.bekasiewicz@pg.edu.pl 03 01 2019 05 07 2019 08 07 2019 © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Multi-objective optimization Evolutionary algorithms Antenna design Computer-aided design (CAD...

... the biased convergence of evolutionary algorithms. Furthermore, the star discrepancy measure is adopted to quantify the quality of the exploration phase of evolutionary algorithms in general. Findings In experiments, EEHO has shown a better performance of convergence rate compared with the original EHO...

... regression algorithms for the analysis of measured data in terms of equivalent circuit parameters is provided by evolutionary algorithms, particularly the Differential Evolution (DE) algorithms (standard DE and a representative of the self-adaptive DE paradigm were used...

... Evolutionary algorithms Differential evolution Electrical power systems Transformer design optimization The objective of transformer design optimization (TDO) is to obtain the best design solution that minimizes the manufacturing cost, i.e. the sum of materials cost and labor cost, subject...

... be contacted at: koziel@ru.is © Emerald Group Publishing Limited 2016 Surrogate modelling Multi-objective optimization Computer-aided design (CAD) Electromagnetic (EM)-driven design Evolutionary algorithms Space mapping where _k are unknown correlation parameters...

... Shape optimization Evolutionary algorithms Differential evolution Island model Nash algorithms Domain decomposition methods Geometry decomposition methods Flow Programming and algorithm theory Evolutionary algorithms (EAs), which operate on populations, are extremely well suited...