Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Tasgetiren, Mehmet Fatih"'
Publikováno v:
In Swarm and Evolutionary Computation August 2024 89
Autor:
Gao, Kai Zhou, Suganthan, Ponnuthurai Nagaratnam, Pan, Quan Ke, Tasgetiren, Mehmet Fatih, Sadollah, Ali
Publikováno v:
In Knowledge-Based Systems 1 October 2016 109:1-16
Akademický článek
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Autor:
Tasgetiren, Mehmet Fatih1 fatih.tasgetiren@yasar.edu.tr, Quan-Ke Pan2 panquanke@hust.edu.cn, Kizilay, Damla3 damla.kizilay@yasar.edu.tr, Kaizhou Gao4 kgao001@e.ntu.edu.sg
Publikováno v:
Algorithms. Dec2016, Vol. 9 Issue 4, p71. 24p.
Publikováno v:
International Journal of Production Research; Oct2015, Vol. 53 Issue 19, p5896-5911, 16p, 7 Diagrams, 6 Charts, 1 Graph
Autor:
Ünlü, Püren, Ekici, B., Chatzikonstantinou, I., Sariyildiz, I.S., Tasgetiren, Mehmet Fatih, Çubukçuoglu, C., Horvath, Imre, Suarez Rivero, Jose Pablo, Hernandez Castellano, Pedro Manuel
Publikováno v:
Proceedings of the 12th International Symposium on Tools and Methods of Competitive Engineering (TMCE 2018)
This paper discusses a set of façade design alternatives for form-finding problem focusing on conceptual phase. In this respect, the aim of the research is to propose a multi-objective optimization approach for a façade design of public pool buildi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::df67f70519167d19b98f7c619c8f2d9c
http://resolver.tudelft.nl/uuid:c25239db-0ee0-4e9a-9d53-ad6f41c9aa7a
http://resolver.tudelft.nl/uuid:c25239db-0ee0-4e9a-9d53-ad6f41c9aa7a
In this study, an ensemble of differential evolution (DE) algorithms is presented to classify electromagnetic targets in resonance scattering region. The algorithm aims to synthesize a special incident signal for each target, which is defined as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::846d184051396a9567710b76a13037f4
https://aperta.ulakbim.gov.tr/record/14893
https://aperta.ulakbim.gov.tr/record/14893
Publikováno v:
Traveling Salesman Problem
The mDPSO algorithm proposed employs the destruction and construction procedure of the iterated greedy algorithm (IG) in its mutation phase. Its performance is enhanced by employing a population initialization scheme based on an NEH constructive heur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::911e96b8d646d28bfa9dc4d798b1f982
https://doi.org/10.5772/5579
https://doi.org/10.5772/5579
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Autor:
Kizilay, Damla1 (AUTHOR) damla.kizilay@yasar.edu.tr, Tasgetiren, Mehmet Fatih2,3 (AUTHOR) fatih.tasgetiren@istinye.edu.tr, Pan, Quan-Ke4 (AUTHOR) panquanke@shu.edu.cn, Gao, Liang3 (AUTHOR)
Publikováno v:
Algorithms. May2019, Vol. 12 Issue 5, p100. 1p.