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pro vyhledávání: '"Gürcan Yavuz"'
Autor:
Gürcan Yavuz
Publikováno v:
IEEE Access. 10:103765-103780
Autor:
Gürcan Yavuz, Doğan Aydin
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2016 (2016)
Optimal feature subset selection is an important and a difficult task for pattern classification, data mining, and machine intelligence applications. The objective of the feature subset selection is to eliminate the irrelevant and noisy feature in or
Externí odkaz:
https://doaj.org/article/ae53c37b83e34cfdb9b2f23a1f7be812
Publikováno v:
Volume: 27, Issue: 6 4797-4817
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
Infinite impulse response (IIR) system identification problem is defined as an IIR filter modeling to represent an unknown system. During a modeling task, unknown system parameters are estimated by metaheuristic algorithms through the IIR filter. Thi
Autor:
Gürcan Yavuz
Publikováno v:
Journal of Computational Science. 60:101597
This study, incorporating three improvements into the structure of the original SSA algorithm to increase its exploration and exploitation capabilities, suggests an SSA variant algorithm named "Diversified Position Update Equation-Based SSA with Refr
Publikováno v:
Applied Soft Computing. 116:108343
Publikováno v:
Swarm Intelligence. 11:1-38
The artificial bee colony (ABC) algorithm is a popular metaheuristic that was originally conceived for tackling continuous function optimization tasks. Over the last decade, a large number of variants of ABC have been proposed, making it by now a wel
Publikováno v:
SIU
Segmentation is a very important step in image processing. One of the segmentation methods is multi-level thresholding. The success of multi-level thresholding depends on the best way to determine the appropriate threshold values. In this study, we t
Publikováno v:
GECCO (Companion)
2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017 -- 15 July 2017 through 19 July 2017 -- -- 128763
ABC-X is a generalized, automatically configurable framework for the Artificial Bee Colony (ABC) metaheuristic. ABC-X ha
ABC-X is a generalized, automatically configurable framework for the Artificial Bee Colony (ABC) metaheuristic. ABC-X ha
Autor:
Gürcan Yavuz, Doğan Aydın
Publikováno v:
GECCO (Companion)
2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017 -- 15 July 2017 through 19 July 2017 -- -- 128763
Self-Adaptive Search Equation based Arti.cial Bee Colony (SSEABC) is a recent variant of Arti.cial Bee Colony (ABC) algo
Self-Adaptive Search Equation based Arti.cial Bee Colony (SSEABC) is a recent variant of Arti.cial Bee Colony (ABC) algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cad63ef196e61ed2114d25c5ce341bb7
https://hdl.handle.net/20.500.12438/7044
https://hdl.handle.net/20.500.12438/7044