Feature selection is a fundamental pre-processing step in machine learning that aims to reduce the dimensionality of dataset by selecting most effective features from original features. This process regarded as combinatorial optimization problem, and grey wolf optimizer (GWO), novel meta-heuristic algorithm, has gained popularity feature due its fast convergence speed easy implementation. In th...

This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer (FOX) which mimics foraging behavior of foxes in nature when hunting preys. The is based on techniques for measuring distance between fox and its prey to execute an efficient jump. After presenting mathematical models FOX, five classical benchmark functions CEC2019 test are used evaluate it’s performance...

A Lypunov-based Adaptive Backstepping Control (ABSC) approach is designed for a power Buck converter. This strategy an advanced version of the method utilising Lyapunov stability function to reach higher and better disturbance rejection behaviour in practical applications. In addition, reduce computational burden increase ease implantation, Black-box technique considered assuming no accurate ma...

As the load on distribution networks grows, system operators and planners are constantly challenged with issue of voltage regulation or enhancing quality supply to customers at end lengthy lines. This paper presents optimum determination series capacitor units in a maximize energy-saving enhance levels. Interestingly, capacitors can capability transmission lines, reduce line losses, performance...

Abstract The present study is focussed on solving the relay coordination problem. Protection of microgrids performed through placement directional overcurrent relays (DOCR). efficacy microgrid protection depends all DOCRs placed in system. For this purpose, a number optimization techniques have been employed by power system researcher. In paper, Grey Wolf Optimizer (GWO) proposed for different ...

In this modern era, due to demand for cloud environments in business, the size, complexity, and chance of attacks virtual network (VCN) are increased. The protection VCN is required maintain faith users. Intrusion detection essential secure any network. existing approaches that use conventional neural cannot utilize all information identifying intrusions. paper, anomaly-based NIDS proposed. For...

This research presents a hybrid approach for path planning of autonomous underwater vehicles (AUVs). During planning, static obstacles affect the desired and distance which result in collision penalties. In this study, merits grey wolf optimization (GWO) genetic algorithm (GA) bionic-inspired algorithms are integrated to implement (HGWO) allows AUVs reach their destination safely an obstacle ri...

Abstract Software usability is usually used in reference to the hierarchical software model by researchers and an important aspect of user experience quality. Thus, evaluation essential parameter for managing regulating a software. However, it has been difficult establish precise method this problem. A large number factors have suggested many researchers, each covering set different increase de...

Prediction of pile bearing capacity has been considered an unsolved problem for years. This study presents a practical solution the preparation and maximization capacity, considering effects time after end driving. The prediction phase proposes intelligent equation using genetic programming (GP) model. Thus, geometry, soil properties, initial driving were predictors to predict capacity. develop...