نتایج جستجو برای: cuckoo search optimization algorithm

تعداد نتایج: 1182378  

Journal: :علوم کاربردی و محاسباتی در مکانیک 0
فرهاد جلیلی مجید ملک جعفریان علی صفوی نژاد

in this work, harmony search meta-heuristic optimization algorithm has been developed for aerodynamic shape optimization problem for the first time. the aerodynamic shape, which has been investigated, is an airfoil with parces method for its shape parameterization. the problem was minimization of aerodynamic objective function using inverse design method and the objective function has been the ...

2014
Mohamad Amiri Mina Sheikholeslami Mahmood Moghadasian

In many countries the power systems are going to move toward creating a competitive structure for selling and buying electrical energy. These changes and the numerous advantages of the distributed generation units (DGs) in term of their technology enhancement and economical considerations have created more incentives to use these kinds of generators than before. Therefore, it is necessary to st...

Journal: :Mathematics 2021

When facing certain problems in science, engineering or technology, it is not enough to find a solution, but essential seek and the best possible solution through optimization. In many cases exact optimization procedures are applicable due great computational complexity of problems. As an alternative optimization, there approximate algorithms, whose purpose reduce by pruning some areas problem ...

Journal: :International Journal of Electrical and Computer Engineering (IJECE) 2017

Journal: :Serbian Journal of Electrical Engineering 2013

In this study, modeling of hydrogen, nitrogen, carbon monoxide, methane and carbon dioxide sorption on UTSA-16 framework extrudates in the pressure swing adsorption process was carried out. The pure gas adsorption of these gases at the pressure range (0 to 80) bars at (298, 313, and 338) K have also been measured in a fixed bed. Langmuir, Toth, Sips, UNILAN, Virial and Dubinin-Astakhov adsorpti...

2016
Vasile GEORGESCU Vasile Georgescu

Nature-inspired metaheuristics for optimization have proven successful, due to their fine balance between exploration and exploitation of a search space. This balance can be further refined by hybridization. In this paper, we conduct experiments with some of the most promising nature-inspired metaheuristics, for assessing their performance when using them to replace backpropagation as a learnin...

Journal: :International Journal on Computational Science & Applications 2014

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