نتایج جستجو برای: gray wolf optimization algorithm
تعداد نتایج: 1007332 فیلتر نتایج به سال:
Abstract In this paper, a BP neural network model with 5-9-6 structure is constructed according to various fault gases and different types of drilling fluid. On the basis model, genetic algorithm gray wolf are used optimize threshold weight network. By applying system Horizontal Well Changshen #5 on site Grey Wolf algorithm, lost circulation problem in horizontal section reservoir was effective...
The present paper tackles the optimization problem of double layer grids considering nonlinear behaviour. In this paper, an efficient optimization algorithm is proposed to achieve the optimization task based on the newly developed grey wolf algorithm (GWA) termed as sequential GWA (SGWA). In the framework of SGWA, a sequence of optimization processe...
Introduction: In Iran, 95% of animal bites are attributed to domestic dogs and cats, while one-third of rabies victims are from wildlife. The wolf is one of the primary vectors of wildlife in the country. This study was aimed to assess the impact of wildlife on rabies transmission and to evaluate the efficacy of an oral rabies vaccine (ORV) in the gray wolf (Canis lupus pallipes). Methods: We s...
The objective of this paper is to develop an enhanced metaheuristic algorithm train ANFIS on solving nonlinear regression problems. Firstly, we improved the sparrow search and then proposed a simplified (SSSA). Secondly, SSSA was hence employed parameters initial raw structure for problem. In order evaluate performance tuning (Adaptive neuro fuzzy inference system) ANFIS, use PSO, (gray wolf op...
In this paper, a novel hybrid Maximum Power Point Tracking (MPPT) algorithm using Particle-Swarm-Optimization-trained machine learning and Flying Squirrel Search Optimization (PSO_ML-FSSO) has been proposed to obtain the optimal efficiency for solar PV systems. The was compared with other well-known methods viz. Perturb & Observer (P&O), Incremental Conductance (INC), Particle Swarm (PS...
The grey wolf optimization (GWO) is a nature inspired and meta-heuristic algorithm, it has successfully solved many problems give better solution as compare to other algorithms. However, due its poor exploration capability, imbalance relation between exploitation. Therefore, in this research work, the part of GWO was improved through hybrid with whale algorithm (WOA) exploration. proposed (GWWO...
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