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Solving Optimization Problems via Vortex Optimization Algorithm and Cognitive Development Optimization Algorithm

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dc.creator Demir, Ahmet
dc.creator Kose, Utku
dc.date 2016-10-31T21:00:00Z
dc.date.accessioned 2020-10-06T11:22:40Z
dc.date.available 2020-10-06T11:22:40Z
dc.identifier c36802a0-8394-4e66-b191-1ae438075b20
dc.identifier https://avesis.sdu.edu.tr/publication/details/c36802a0-8394-4e66-b191-1ae438075b20/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/71371
dc.description In the fields which require finding the most appropriate value, optimization became a vital approach to employ effective solutions. With the use of optimization techniques, many different fields in the modern life have found solutions to their real-world based problems. In this context, classical optimization techniques have had an important popularity. But after a while, more advanced optimization problems required the use of more effective techniques. At this point, Computer Science took an important role on providing software related techniques to improve the associated literature. Today, intelligent optimization techniques based on Artificial Intelligence are widely used for optimization problems. The objective of this paper is to provide a comparative study on the employment of classical optimization solutions and Artificial Intelligence solutions for enabling readers to have idea about the potential of intelligent optimization techniques. At this point, two recently developed intelligent optimization algorithms, Vortex Optimization Algorithm (VOA) and Cognitive Development Optimization Algorithm (CoDOA), have been used to solve some multidisciplinary optimization problems provided in the source book Thomas' Calculus 11th Edition and the obtained results have compared with classical optimization solutions.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Solving Optimization Problems via Vortex Optimization Algorithm and Cognitive Development Optimization Algorithm
dc.type info:eu-repo/semantics/article


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