<span id="docs-internal-guid-ea798321-7fff-3e0c-24d7-776c9b1165b3"><span>In this paper, a multi-group salp swarm algorithm (MGSSA) is presented for estimating the photovoltaic (PV) solar cell models. The SSA metaheuristic technique that mimics social behavior of salp. salps work in group follow certain leader. leader approaches food source and rest follows it, hence resulting slow c...

Computerized tomography (CT) scans and X-rays play an important role in the diagnosis of COVID-19 pneumonia. On basis image analysis results chest CT X-rays, severity lung infection is monitored using a tool. Many researchers have done accurate efficient takes lot time inefficient. To overcome these issues, our proposed study implements four cascaded stages. First, for pre-processing, mean filt...

When building geotechnical constructions like retaining walls and dams is of interest, one the most important factors to consider soil’s shear strength parameters. This study makes an effort propose a novel predictive model strength. The implements extreme gradient boosting (XGBoost) technique coupled with powerful optimization algorithm, salp swarm algorithm (SSA), predict various soils. To do...

Swarm Intelligence (SI) Algorithms imitate the collective behavior of various swarms or groups in nature. In this work, three representative examples SI algorithms have been selected and thoroughly described, namely Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), Salp (SSA). Firstly, are reviewed literature, specifically for optimization problems antenna design. Secondly, a compa...

Landslide displacement prediction is an essential base of landslide hazard prevention, which often needs to establish accurate model. To achieve accuracy displacement, a model based on salp-swarm-algorithm-optimized temporal convolutional network (SSA-TCN) proposed. The TCN model, consisting causal dilation convolution layer residual block, can flexibly increase the receptive fields and capture...

Salp swarm algorithm (SSA) is an excellent meta-heuristic algorithm, which has been widely used in the engineering field. However, there still room for improvement terms of convergence rate and solution accuracy. Therefore, this paper proposes enhanced parallel salp based on Taguchi method (PTSSA). The trick to split initial population uniformly into several subgroups then exchange information ...

In this paper, we are interested in developing a new approach that combines successive variational mode decomposition and blind source separation based on salp swarm optimization for bearing fault diagnosis. Firstly, vibration signals pre-processed using to increase the signal-to-noise ratio. Then, dynamic time-warping algorithm is adopted select most effective modes which will be considered mi...

A remodeled sperm swarm optimization (RMSSO) algorithm for a home energy management (HEM) system is proposed, and its real-time efficacy was evaluated using hardware experimental model. This environment comprised sixteen residential loads, smart meter Raspberry Pi controller to optimize the consumption cost (ECC) in response Indian day-ahead pricing (DAP) scheme. wired/wireless communication ne...

To address the defects of salp swarm algorithm (SSA) such as slow convergence speed and ease falling into a local minimum, new combining chaotic mapping decay factor is proposed combined with back propagation (BP) neural network to achieve an effective prediction tool wear. Firstly, used enhance formation population, which facilitates iterative search reduces trapping in optimum; secondly, intr...

In recent years, the maximization of a lifetime for wireless sensor networks is considered an important area researchers. The (WSNs) contain two types sensors that called nodes and sink which node send information to central (sink node) collected its data. Choosing best location critical problem faces networks. this paper, we propose method choosing by applying Salp Swarm Algorithm (SSA) after ...