نتایج جستجو برای: gray wolf optimizer

تعداد نتایج: 53447  

2016
E Emary Hossam M Zawbaa

Exploration and exploitation are two essential components for any optimization algorithm. Much exploration leads to oscillation and premature convergence while too much exploitation slows down the optimization algorithm and the optimizer may be stuck in local minima. Therefore, balancing the rates of exploration and exploitation at the optimization lifetime is a challenge. This study evaluates ...

Journal: :International Journal of Engineering Applied Sciences and Technology 2020

Journal: :Jordanian Journal of Computers and Information Technology 2018

Journal: :Symmetry 2022

The grey wolf optimization (GWO) algorithm is widely utilized in many global applications. In this paper, a dynamic opposite learning-assisted optimizer (DOLGWO) was proposed to improve the search ability. Herein, learning (DOL) strategy adopted, which has an asymmetric space and can adjust with random point enhance exploitation exploration capabilities. To validate performance of DOLGWO algori...

Journal: :The International Journal of Advanced Manufacturing Technology 2022

Generally, off-line methods are used for surface roughness prediction of titanium alloy milling. However, studies show that these have poor accuracy. In order to resolve this shortcoming, a method based on Cloudera’s Distribution including Apache Hadoop (CDH) platform is proposed in the present study. regard, data analysis and process designed CDH, which can upload, calculate, store real time. ...

2012
Philippe Gaubert Cécile Bloch Slim Benyacoub Adnan Abdelhamid Paolo Pagani Chabi Adéyèmi Marc Sylvestre Djagoun Arnaud Couloux Sylvain Dufour

The recent discovery of a lineage of gray wolf in North-East Africa suggests the presence of a cryptic canid on the continent, the African wolf Canis lupus lupaster. We analyzed the mtDNA diversity (cytochrome b and control region) of a series of African Canis including wolf-like animals from North and West Africa. Our objectives were to assess the actual range of C. l. lupaster, to further est...

Journal: :Applied sciences 2021

Metaheuristic algorithms are widely used for optimization in both research and the industrial community simplicity, flexibility, robustness. However, multi-modal is a difficult task, even metaheuristic algorithms. Two important issues that need to be handled solving problems (a) categorize multiple local/global optima (b) uphold these till ending. Besides, robust local search ability also prere...

Journal: :Applied Computational Intelligence and Soft Computing 2016

Journal: :Theriogenology 2008
H J Oh M K Kim G Jang H J Kim S G Hong J E Park K Park C Park S H Sohn D Y Kim N S Shin B C Lee

The objective of the present study was to investigate whether nuclear transfer of postmortem wolf somatic cells into enucleated dog oocytes, is a feasible method to produce a cloned wolf. In vivo-matured oocytes (from domestic dogs) were enucleated and fused with somatic cells derived from culture of tissue obtained from a male gray wolf 6h after death. The reconstructed embryos were activated ...

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