EnglishIn 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.
A proper infill sampling strategy for improving the speed performance of a Surrogate-Assisted Evolutionary Algorithm / Vincenzi, Loris; Gambarelli, Paola. - In: COMPUTERS & STRUCTURES. - ISSN 0045-7949. - 178(2017), pp. 58-70.
| Data di pubblicazione: | 2017 |
| Titolo: | A proper infill sampling strategy for improving the speed performance of a Surrogate-Assisted Evolutionary Algorithm |
| Autore/i: | Vincenzi, Loris; Gambarelli, Paola |
| Autore/i UNIMORE: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.compstruc.2016.10.004 |
| Rivista: | |
| Volume: | 178 |
| Pagina iniziale: | 58 |
| Pagina finale: | 70 |
| Codice identificativo ISI: | WOS:000389285800005 |
| Codice identificativo Scopus: | 2-s2.0-84992485933 |
| Citazione: | A proper infill sampling strategy for improving the speed performance of a Surrogate-Assisted Evolutionary Algorithm / Vincenzi, Loris; Gambarelli, Paola. - In: COMPUTERS & STRUCTURES. - ISSN 0045-7949. - 178(2017), pp. 58-70. |
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http://hdl.handle.net/11380/1126416
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