Based on the salp swarm algorithm (SSA), this paper proposes an efficient metaheuristic for solving global optimization problems and optimizing two commonly encountered geotechnical engineering structures: reinforced concrete cantilever retaining walls shallow spread foundations. Two new equations leader- followers-position-updating procedures were introduced in proposed adaptive (ASSA). This c...

An Ad-hoc network is collection of mobile nodes without the necessity existing any centralized access points. In this paper introduce novel protocol that used to improveAdHoc with salp swarm algorithm routed flying Ad Hoc Network (FANET) by method simulation. FANET predicated unmanned aerial vehicles (UAV), it designed wireless has withwith high mobility, actively changing topology and movement...

The sand cat swarm optimization (SCSO) is a new heuristic algorithm that simulates the behavior of groups in desert using hearing to hunt. To address shortcomings low accuracy SCSO solution, slow convergence late iterations and easy stagnation, based on stochastic variation elite collaboration (SE-SCSO) was proposed. SE-SCSO first introduces nonlinear periodic adjustment mechanism balance explo...

Accurate solar radiation (SR) prediction is one of the essential prerequisites harvesting energy. The current study proposed a novel intelligence model through hybridization Adaptive Neuro-Fuzzy Inference System (ANFIS) with two metaheuristic optimization algorithms, Salp Swarm Algorithm (SSA) and Grasshopper Optimization (GOA) (ANFIS-muSG) for global SR at different locations North Dakota, USA...

In recent years, the Internet of Things (IoT) has led to spread cloud computing devices in all commercial, industrial and agricultural sectors. The use environment services is increasing exponentially with technology applications based on IoT. Fog addressing issues environments. reduces load balancing, processing, bandwidth, storage as data file replication from network closest sensors differen...

<p>The paper is all about the implementation of a novel bio-inspired metaheuristic<br />salp swarm algorithm (SSA) for speed control brushless DC<br />(BLDC) motor drive that run in sensorless mode. The angular<br />speed evaluated using an extended kalman filter, which the<br />dynamics are nonlinear. error speeds between actual and<br />estimated fed to PID...

The fast development of electric vehicles (EVs) has resulted in several topics research this area, such as the a charging pricing strategy, control, location station, and structure within station. This paper proposes optimal design an EV fast-charging station (EVFCS) connected with renewable energy source battery storage systems (BESS) by using metaheuristic algorithms. aims to find number powe...

Developing new optimization algorithms and data mining has improved traditional engineering structural analysis models (meaning basically swarm-based solutions). Additionally, an accurate quantification of in situ friction capacity (ISFC) driven piles is paramount importance design/construction geotechnical infrastructures. A number studies have underscored the use developed via artificial neur...

This article presents a comparative analysis of the latest swarm-based optimization approaches under partial shading conditions (PSCs) for maximum power point tracking (MPPT) in photovoltaic (PV) systems. The MPPT algorithms are stochastic meta-heuristic that have become very popular recently various applications owing to drawbacks conventional different operating conditions. A comprehensive re...