A proper infill sampling strategy for improving the speed performance of a Surrogate-Assisted Evolutionary Algorithm. (1st January 2017)

• Record Type: Journal Article
• Authors: Vincenzi, Loris; Gambarelli, Paola
• Is Part Of: Computers & structures. Volume 178(2016)
• Page Start: 58
• Page End: 70
• Publication Date: 2017-01-01
• Subjects: Surrogate model -- Evolutionary algorithm -- Model updating -- Differential evolution -- Infill sampling strategy; Structural engineering -- Data processing -- Periodicals; Electronic data processing -- Structures, Theory of -- Periodicals; 624.171
• DOI: 10.1016/j.compstruc.2016.10.004
• Languages: English
• ISSNs: 0045-7949

Abstract

Abstract: In the present paper, an improved Surrogate-Assisted Evolutionary Algorithm is proposed. It combines the Differential Evolution algorithm with a quadratic surrogate approximation and a proper infill sampling strategy to choose appropriate sample points. The selection of the new candidate points is arranged to enhance both the local accuracy and the global optimum search. A comparison between performances of different evolutionary algorithms is carried out by searching the global minimum of two benchmark functions, by solving a dynamic identification problem of a three floor frame and by calibrating the non-linear stress-crack opening relation for Fibre-Reinforced Concrete specimens starting from experimental data.