Pregled bibliografske jedinice broj: 512220
Enhanced Reverse Engineering using Genetic-Algorithms-based Experimental Parallel Workflow for Optimum Design
Enhanced Reverse Engineering using Genetic-Algorithms-based Experimental Parallel Workflow for Optimum Design // Joint Conferences on Evolutionary Computing (EVO 2011) : Applications of Evolutionary Computation - EvoApplications 2011 : Proceedings. Part II = Lecture Notes in Computer Science (LNTCS). Vol. 6625 ; EvoHOT Contributions / Di Chio, C. ; et. al. (ur.).
Torino, Italija: Springer, 2011. str. 172-183 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 512220 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Enhanced Reverse Engineering using Genetic-Algorithms-based Experimental Parallel Workflow for Optimum Design
Autori
Vučina, Damir ; Pehnec, Igor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Joint Conferences on Evolutionary Computing (EVO 2011) : Applications of Evolutionary Computation - EvoApplications 2011 : Proceedings. Part II = Lecture Notes in Computer Science (LNTCS). Vol. 6625 ; EvoHOT Contributions
/ Di Chio, C. ; et. al. - : Springer, 2011, 172-183
ISBN
978-3-642-20519-4
Skup
Joint Conferences on Evolutionary Computing
Mjesto i datum
Torino, Italija, 27.04.2011. - 29.04.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
enhanced reverse engineering; genetic algorithms; optimum design
Sažetak
Shape optimization is numerically very intensive due to multidisciplinary objectives and constraints, many shape variables, non linear models, geometric infeasibility of candidate designs, etc. It involves participation of numerical optimizers, computer- aided geometric modelers and subject-related simulators as well as their coupling at the process- and data levels. This paper develops a simple experimental workflow which employs existing commercial software for computer-aided design, finite element analysis and evolutionary optimization modules. It sets up parallel execution of multiple simulators to reduce the execution time, which is implemented inexpensively by means of a self-made .net- based cluster. Shape optimization is introduced in the generic context of ‘enhanced’ reverse engineering with optimization whereby the initial solution can be obtained by 3D optical scanning and parameterization of an existing solution.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne tehničke znanosti
Napomena
DOI: 10.1007/978-3-642-20520-0_18
POVEZANOST RADA
Projekti:
023-0231744-3113 - Inteligentni i evolucijski algoritmi optimizacije materijala i konstrukcija (Vučina, Damir, MZOS ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split