Retraction Note to: Energy aware smartphone tasks offloading to the cloud using gray wolf optimization
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منابع مشابه
Multi-objective Optimization of Stirling Heat Engine Using Gray Wolf Optimization Algorithm (TECHNICAL NOTE)
The use of meta-heuristic optimization methods have become quite generic in the past two decades. This paper provides a theoretical investigation to find optimum design parameters of the Stirling heat engines using a recently presented nature-inspired method namely the gray wolf optimization (GWO). This algorithm is utilized for the maximization of the output power/thermal efficiency as well as...
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In this research, optimization of gas microturbine through economic, exergy and environmental analysis has been investigated by the gray wolf algorithm. First, a thermodynamic modeling was performed for each of the above modes, and then using the gray wolf method, optimum points were determined for each systemchr('39')s performance. For modeling, the code written in MATLAB software was used. ...
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Nowdays, energy consumption as a critical issue in distributed computing systems with high performance has become so green computing tries to energy consumption, carbon footprint and CO2 emissions in high performance computing systems (HPCs) such as clusters, Grid and Cloud that a large number of parallel. Reducing energy consumption for high end computing can bring various benefits such as red...
متن کاملInvestigate the Applicability of Gray Wolf Optimization Algorithm in Determining the Optimal Dimensions of Concrete Dams
Acquiring optimal dimensions of concrete dams by reducing the cross section will reduce the volume of concrete used and consequently reduce construction costs. Due to multiplicity of constraints which leads to complexity of the decision space, meta-heuristic optimization algorithms have been increasingly used in optimal design of gravity dams. In this study, performance of Grey Wolf Optimizer w...
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ژورنال
عنوان ژورنال: Journal of Ambient Intelligence and Humanized Computing
سال: 2022
ISSN: ['1868-5137', '1868-5145']
DOI: https://doi.org/10.1007/s12652-022-04175-3