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Solvent selection is a very important design parameter for optimization efficiency of such processes.
To demonstrate the optimization efficiency of ILRMA, we compared the computational times of Laplace IVA, GGD-IVA, MNMF, t-MNMF, ILRMA, GGD-ILRMA, and t-ILRMA.
Meanwhile, a differential evolution mechanism based on neighbourhood and gradient is developed to achieve exploration-exploitation balance and enhance optimization efficiency of the algorithm proposed.
Moreover, several multimodal benchmark examples illustrate that, the probability distribution property and search speed of chaotic sequences from different chaotic maps significantly affect the global searching capability and optimization efficiency of COA.
In this work, the influence of different random number generators, problem dimensionality, and number of function evaluations on the optimization efficiency of Differential Search algorithm is presented in detail.
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This paper also gives bibliographic information on the issues of simulation programs, optimization tools, efficiency of optimization methods, and trends in optimization studies.
As the reanalysis with respect to material properties for obtaining the accurate deformation is merged into the global iterations of optimization, the efficiency of optimization is highly improved.
However, the optimization efficiency and the quality of the solutions need improving further.
The significant increases in data usage have placed tremendous strain on the wireless infrastructure, necessitating research across a variety of optimization, efficiency, and capacity improvements.
Meanwhile, the improvement of optimization efficiency and quality is extremely demanding because the FEA needs much computing time.
The authors submit an empirical model makes it possible to predict theefficiency of a microturbine and determine the values of the factorscorresponding to the maximum efficiency mode.Through optimization, the efficiency of the investigated microturbinestages reached 0.62 with tapered nozzles.
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