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MULTI-OBJECTIVE STRUCTURAL OPTIMIZATION – A REVIEW OF THE GENETIC ALGORITHM METHODS

Albert ZAMARIN ; University of Rijeka, Faculty of Engineering, Rijeka, Croatia
Jasmin JELOVICA   ORCID icon orcid.org/0000-0002-8396-941X ; Helsinki University of Technology, Helsinki, Finland
Marko HADJINA   ORCID icon orcid.org/0000-0001-7131-4750 ; University of Rijeka, Faculty of Engineering, Rijeka, Croatia

Puni tekst: engleski, pdf (543 KB) str. 87-100 preuzimanja: 180* citiraj
APA 6th Edition
ZAMARIN, A., JELOVICA, J. i HADJINA, M. (2009). MULTI-OBJECTIVE STRUCTURAL OPTIMIZATION – A REVIEW OF THE GENETIC ALGORITHM METHODS. Engineering Review, 29 (2), 87-100. Preuzeto s https://hrcak.srce.hr/46007
MLA 8th Edition
ZAMARIN, Albert, et al. "MULTI-OBJECTIVE STRUCTURAL OPTIMIZATION – A REVIEW OF THE GENETIC ALGORITHM METHODS." Engineering Review, vol. 29, br. 2, 2009, str. 87-100. https://hrcak.srce.hr/46007. Citirano 07.04.2020.
Chicago 17th Edition
ZAMARIN, Albert, Jasmin JELOVICA i Marko HADJINA. "MULTI-OBJECTIVE STRUCTURAL OPTIMIZATION – A REVIEW OF THE GENETIC ALGORITHM METHODS." Engineering Review 29, br. 2 (2009): 87-100. https://hrcak.srce.hr/46007
Harvard
ZAMARIN, A., JELOVICA, J., i HADJINA, M. (2009). 'MULTI-OBJECTIVE STRUCTURAL OPTIMIZATION – A REVIEW OF THE GENETIC ALGORITHM METHODS', Engineering Review, 29(2), str. 87-100. Preuzeto s: https://hrcak.srce.hr/46007 (Datum pristupa: 07.04.2020.)
Vancouver
ZAMARIN A, JELOVICA J, HADJINA M. MULTI-OBJECTIVE STRUCTURAL OPTIMIZATION – A REVIEW OF THE GENETIC ALGORITHM METHODS. Engineering Review [Internet]. 2009 [pristupljeno 07.04.2020.];29(2):87-100. Dostupno na: https://hrcak.srce.hr/46007
IEEE
A. ZAMARIN, J. JELOVICA i M. HADJINA, "MULTI-OBJECTIVE STRUCTURAL OPTIMIZATION – A REVIEW OF THE GENETIC ALGORITHM METHODS", Engineering Review, vol.29, br. 2, str. 87-100, 2009. [Online]. Dostupno na: https://hrcak.srce.hr/46007. [Citirano: 07.04.2020.]
Puni tekst: hrvatski, pdf (543 KB) str. 87-100 preuzimanja: 1.166* citiraj
APA 6th Edition
ZAMARIN, A., JELOVICA, J. i HADJINA, M. (2009). OPTIMIZACIJA STRUKTURE S VIŠE FUNKCIJA CILJA – PREGLED POSTOJEĆIH METODA GENETSKOG ALGORITMA. Engineering Review, 29 (2), 87-100. Preuzeto s https://hrcak.srce.hr/46007
MLA 8th Edition
ZAMARIN, Albert, et al. "OPTIMIZACIJA STRUKTURE S VIŠE FUNKCIJA CILJA – PREGLED POSTOJEĆIH METODA GENETSKOG ALGORITMA." Engineering Review, vol. 29, br. 2, 2009, str. 87-100. https://hrcak.srce.hr/46007. Citirano 07.04.2020.
Chicago 17th Edition
ZAMARIN, Albert, Jasmin JELOVICA i Marko HADJINA. "OPTIMIZACIJA STRUKTURE S VIŠE FUNKCIJA CILJA – PREGLED POSTOJEĆIH METODA GENETSKOG ALGORITMA." Engineering Review 29, br. 2 (2009): 87-100. https://hrcak.srce.hr/46007
Harvard
ZAMARIN, A., JELOVICA, J., i HADJINA, M. (2009). 'OPTIMIZACIJA STRUKTURE S VIŠE FUNKCIJA CILJA – PREGLED POSTOJEĆIH METODA GENETSKOG ALGORITMA', Engineering Review, 29(2), str. 87-100. Preuzeto s: https://hrcak.srce.hr/46007 (Datum pristupa: 07.04.2020.)
Vancouver
ZAMARIN A, JELOVICA J, HADJINA M. OPTIMIZACIJA STRUKTURE S VIŠE FUNKCIJA CILJA – PREGLED POSTOJEĆIH METODA GENETSKOG ALGORITMA. Engineering Review [Internet]. 2009 [pristupljeno 07.04.2020.];29(2):87-100. Dostupno na: https://hrcak.srce.hr/46007
IEEE
A. ZAMARIN, J. JELOVICA i M. HADJINA, "OPTIMIZACIJA STRUKTURE S VIŠE FUNKCIJA CILJA – PREGLED POSTOJEĆIH METODA GENETSKOG ALGORITMA", Engineering Review, vol.29, br. 2, str. 87-100, 2009. [Online]. Dostupno na: https://hrcak.srce.hr/46007. [Citirano: 07.04.2020.]

Sažetak
There are numerous means of enhancing ship structure in an attempt to satisfy both the shipyard and the ship owner requirements. These means are addressed as a ship’s attributes and they are regularly contrary in meaning, such that the improvement in one cannot be achieved without making some other worse. Typically these are e.g. cost, weight, reliability, safety and stability, which can be minimized or maximized to improve the final design. A compromise obviously has to be made between them, depending upon the importance of each attribute. Evolutionary algorithms have proven their worthiness in a great variety of practical engineering problems, handling many variables, constraints and objectives. However, the need to improve them is always present. This has recently been done by hybridization, combining different approaches in order to get the best of them. To devise an algorithm which will be applicable to all problems is impossible. In this review, for the purpose of directing the experts entering in the field of structural optimization, only a few of the most important approaches and multi-objective algorithms have been presented.

Ključne riječi
optimization; genetic algorithm; ship structure

Hrčak ID: 46007

URI
https://hrcak.srce.hr/46007

[hrvatski]

Posjeta: 1.685 *