Adrian Ilinca

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Over the years, several meta-heuristic algorithms were proposed and are now emerging as common methods for constrained optimization problems. Among them, genetic algorithms (GA's) shine as popular evolutionary algorithms (EA's) in engineering optimization. Most engineering design problems are difficult to resolve with conventional optimization algorithms(More)
The recent development of large wind turbines poses new challenges with regard to understanding the mechanisms surrounding unsteady flow-structure interaction. The larger and more flexible blades imply risks from an aeroelastic point of view and urge the need to properly understand and model these phenomena. Due to limited experimental data available in(More)
Industries and institutions are more and more prone to be equipped with servers to control all required computational and communication tasks. In many cases where the computational requirements of tasks or where data management are enormous, the need for proper configuration of the server cabinets is important to optimize cooling mechanisms and to improve(More)
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