نتایج جستجو برای: size optimization
تعداد نتایج: 854560 فیلتر نتایج به سال:
Bayesian optimization has become a successful tool for hyperparameter optimization of machine learning algorithms, such as support vector machines or deep neural networks. Despite its success, for large datasets, training and validating a single configuration often takes hours, days, or even weeks, which limits the achievable performance. To accelerate hyperparameter optimization, we propose a ...
In this paper, a new multi-objective model for the expansion planning of the renewable distributed generation (DG) in smart distribution networks based on the passive defense considerations is proposed. The proposed planning model aims to minimize the outage duration of the distribution network loads considering priority of critical, sensitive and important loads. It also aims to minimize netwo...
In this paper, the features of Ant Colony Optimization Algorithm (ACOA) are used to find optimal size for sewer network. Two different formulations are proposed. In the first formulation, pipes diameters and in the second formulation, nodal elevations of sewer network are taken as decision variables of the problem. In order to evaluate the performance of different ACOAs, four algorithms of Ant ...
In the present study, Fe3O4 super paramagnetic nanoparticles were synthesized via co-precipitation of Fe3+ and Fe2+ chloride salts in the presence of ammonia Solution. The product was characterized by Fourier Transform Infrared spectroscopy (FT-IR), Transmission Electron Microscopy (TEM), and zeta–potential particle size distributing methods. The synt...
in solvo-hydrothermal method, xrd pattern was indicated presence of intermediate of ammonium octatmolybdate and ammonium tetramolybdate, which were changed to stble phase of ?-moo3 annealing. sem images were indicated nanoparticle with semispheical morphology and tem image was demonstrated nanoparticles with a diameter size of 25nm. also in impregnate method. the xrd pattern was shown high crys...
Best Management Practices (BMPs) are implemented in a watershed to reduce the amount of non-point source pollutants transported to water bodies. However, an optimization algorithm is required to choose the efficient type, size, and location of BMPs for application in a watershed for improving the water quality. In this study, the Charged System Search, a well-known and powerful meta-heuristic o...
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