The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from hunting behavior wolf packs. GWO’s appeal lies in its remarkable characteristics: it is parameter-free, derivative-free, conceptually simple, user-friendly, adaptable, flexible, and robust. Its efficacy been demonstrated across a wide range optimization problems diverse ...

Electroencephalogram signals (EEG) have provided biometric identification systems with great capabilities. Several studies shown that EEG introduces unique and universal features besides specific strength against spoofing attacks. Essentially, is a graphic recording of the brain’s electrical activity calculated by sensors (electrodes) on scalp at different spots, but their best locations...

Poland is facing demanding challenges to achieve a sustainable energy mix in the near future. Crucial and tough decisions must be made about direction of national economy, safety, environmental impact. Considering electricity heating demand forecast, this paper proposes an optimization model based on Grey Wolf Optimizer meta-heuristic support definition ideal considering investment operational ...

Despite Grey Wolf Optimizer's (GWO) superior performance in many areas, stagnation local optima areas may still be a concern. Several significant GWO factors can explored to enhance the of selection classification, with two conflicting concepts considered using or modeling metaheuristic method, exploring search field, and exploiting optimal solutions. Balancing exploration exploitation good man...

This paper addresses a problem of a continuous path planning of a redundant manipulator where an end-effector needs to follow a desired path. Based on a geometrical analysis, feasible postures of a self-motion are mapped into an interval so that there will be an angle domain boundary and a redundancy resolution to track the desired path lies within this boundary. To choose a best solution among...

The reliability of power packs is very important for the performance of electronic equipment and ensuring the reliability of power electronic circuits is especially vital for equipment security. An alteration in the converter component parameter can lead to the decline of the power supply quality. In order to effectively prevent failure and estimate the remaining useful life (RUL) of superbuck ...

A grey wolf optimizer for modular neural network (MNN) with a granular approach is proposed. The proposed method performs optimal granulation of data and design of modular neural networks architectures to perform human recognition, and to prove its effectiveness benchmark databases of ear, iris, and face biometric measures are used to perform tests and comparisons against other works. The desig...

A new metaheuristic method, the Gray Wolf optimizer algorithm based on the foraging behavior of Grey wolf is proposed in this paper for optimizing stabilizer parameters. The optimal stabilizer is applied to static synchronous series compensator (SSSC) for Inter-Area oscillation damping. There are two different channels for controlling of phase and magnitude of the injection voltage. When the SS...