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Pregled bibliografske jedinice broj: 512220

Enhanced Reverse Engineering using Genetic-Algorithms-based Experimental Parallel Workflow for Optimum Design


Vučina, Damir; Pehnec, Igor
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.-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 ) ( POIROT)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Damir Vučina (autor)

Avatar Url Igor Pehnec (autor)

Citiraj ovu publikaciju

Vučina, Damir; Pehnec, Igor
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)
Vučina, D. & Pehnec, I. (2011) Enhanced Reverse Engineering using Genetic-Algorithms-based Experimental Parallel Workflow for Optimum Design. U: Di Chio, C. & et. al. (ur.)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.
@article{article, editor = {Di Chio, C. and et. al.}, year = {2011}, pages = {172-183}, keywords = {enhanced reverse engineering, genetic algorithms, optimum design}, isbn = {978-3-642-20519-4}, title = {Enhanced Reverse Engineering using Genetic-Algorithms-based Experimental Parallel Workflow for Optimum Design}, keyword = {enhanced reverse engineering, genetic algorithms, optimum design}, publisher = {Springer}, publisherplace = {Torino, Italija} }
@article{article, editor = {Di Chio, C. and et. al.}, year = {2011}, pages = {172-183}, keywords = {enhanced reverse engineering, genetic algorithms, optimum design}, isbn = {978-3-642-20519-4}, title = {Enhanced Reverse Engineering using Genetic-Algorithms-based Experimental Parallel Workflow for Optimum Design}, keyword = {enhanced reverse engineering, genetic algorithms, optimum design}, publisher = {Springer}, publisherplace = {Torino, Italija} }




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