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Scientific paper - Review paper
Review of Nature-Inspired Optimization Algorithms Applied in Civil Engineering
Electronic Journal of the Faculty of Civil Engineering Osijek-e-GFOS, 9 (2018), 17; 74-88. https://doi.org/10.13167/2018.17.8
Obradović, Dino

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Obradović, D. (2018). Review of Nature-Inspired Optimization Algorithms Applied in Civil Engineering. Electronic Journal of the Faculty of Civil Engineering Osijek-e-GFOS, 9. (17), 74-88. doi: 10.13167/2018.17.8

Obradović, Dino. "Review of Nature-Inspired Optimization Algorithms Applied in Civil Engineering." Electronic Journal of the Faculty of Civil Engineering Osijek-e-GFOS, vol. 9, no. 17, 2018, pp. 74-88. https://doi.org/10.13167/2018.17.8

Obradović, Dino. "Review of Nature-Inspired Optimization Algorithms Applied in Civil Engineering." Electronic Journal of the Faculty of Civil Engineering Osijek-e-GFOS 9, no. 17 (2018): 74-88. https://doi.org/10.13167/2018.17.8

Obradović, D. (2018) 'Review of Nature-Inspired Optimization Algorithms Applied in Civil Engineering', Electronic Journal of the Faculty of Civil Engineering Osijek-e-GFOS, 9(17), pp. 74-88. doi: 10.13167/2018.17.8

Obradović D. Review of Nature-Inspired Optimization Algorithms Applied in Civil Engineering. Electronic Journal of the Faculty of Civil Engineering Osijek-e-GFOS [Internet]. 2018 [cited 2024 December 19];9(17):74-88. doi: 10.13167/2018.17.8

D. Obradović, "Review of Nature-Inspired Optimization Algorithms Applied in Civil Engineering", Electronic Journal of the Faculty of Civil Engineering Osijek-e-GFOS, vol. 9, no. 17, pp. 74-88, 2018. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:133:291197. [Accessed: 19 December 2024]

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Metadata
Title (english)Review of Nature-Inspired Optimization Algorithms Applied in Civil Engineering
Title (croatian)Pregled optimizacijskihalgoritama nadahnutih prirodom, primijenjenih u građevinarstvu
AuthorDino Obradović
Author's institutionJosip Juraj Strossmayer University of Osijek
Faculty of Civil Engineering and Architecture Osijek
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Abstract (english)
Nature has always been an example of perfection and inspiration. In nature, everything has reasons why it is happening exactly the way it does. Nature-inspired optimization algorithms have become a rapidly growing area of research in all areas of life. Ant colonies find the shortest path to food, the evolution of the living world shows adaptation to the world around it. For example, bees find the optimal path to food and back to the hive. Optimization algorithms contribute significantly to solving many complex issues and achieving optimal results. This research paper outlines nature-inspired optimization algorithms, such as ant colonies, artificial immune systems, artificial neural networks, flocks of bats, bee swarms, firefly algorithms, genetic algorithms, and particle swarms. The purpose of this brief overview is to provide an easy-to-understand list of the basic features of the most common nature-inspired optimization algorithms as well as the potential applications of the aforementioned algorithms in civil engineering.
Abstract (croatian)
Priroda je oduvijek bila primjer savršenosti i nadahnuća. Sve što se događa u prirodi, događa se na taj način s određenim razlogom. Prirodom nadahnuti optimizacijski algoritmi postaju brzo rastuće područje istraživanja u svim područjima života. Kolonije mrava pronalaze najkraći put do hrane, evolucija živog svijeta pokazuje prilagođavanje svijetu koji ga okružuje, pčele pronalaze optimalan put do hrane i natrag do košnica itd. Optimizacijski algoritmi daju veliki poticaj za rješavanje mnogo složenih problema te pronalaženje optimalnog rezultata. U ovom radu, ukratko će se prikazati prirodom inspirirani optimizacijski algoritmi kao što su kolonije mrava, umjetni imunološki sustav, umjetne neuronske mreže, jato šišmiša, roj pčela, algoritam krijesnica, genetski algoritam i roj čestica. Svrha ovog kratkog pregleda je dati lagano shvatljivi popis te osnovne karakteristike najčešćih optimizacijskih algoritama koji imaju nadahnuće u prirodi te moguću primjenu prethodno navedenih algoritama u građevinarstvu.
Keywords (english)
Keywords (croatian)
Languageenglish
Publication typeScientific paper - Review paper
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleElectronic Journal of the Faculty of Civil Engineering Osijek-e-GFOS
Numberingvol. 9, no. 17, pp. 74-88
e-ISSN1847-8948
DOIhttps://doi.org/10.13167/2018.17.8
URN:NBNurn:nbn:hr:133:291197
Publication2018
Document URLhttps://hrcak.srce.hr/214711
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2019-02-25 12:19:20