With the advantages of easy implement and few adjustment parameters, grey wolf optimization (GWO) performs well in solving global problems. However, original GWO can suffer from slow convergence speed plunge into local optimums dealing with complex To address these issues, improvement mixed-strategy based (MGWO) is proposed this paper. Firstly, we present chaos strategy combination quasi-opposi...

Abstract In the field of transformer fault diagnosis, there are many diagnostic methods. These methods either not high accuracy or used too long. this paper, a dimension learning-based hunting (DLH) search strategy optimization grey wolf algorithm support vector machine (DLH-GWO-SVM) model was proposed. process initializing population, logistic chaotic mapping to improve quality initial positio...

Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near-optimal solution. The bat algorithm is one of the metaheuristic algorithms with poor exploration and exploitation. In this paper, exploration and ...

This study investigates the problem of swarm robots searching for multiple targets in an unknown environment. We propose Historical Optimal Weighting Grey Wolf Optimization (HOWGWO) algorithm based on improved grouping strategy. In HOWGWO algorithm, we gather and update every individual grey wolf’s historical optimal position rank wolves merit their position. The prey is dynamically estimated b...

In this paper, the speed tracking for permanent magnet synchronous motor (PMSM) in field oriented control (FOC) method is investigated using linear proportional-integral (PI) controller, sliding mode controller (SMC) and its advanced counterparts. The advanced SMCs considered in this paper are fuzzy SMC (FSMC) and sliding mode controller with time-varying switching gain (SMC+TG) which can effec...

despite its largest range of distribution in comparison to other large carnivores in iran, the grey wolf has been the least-studied carnivore in the country with limited available data on its ecology. its social life and population composition have been investigated across its global range in europe and north america; however, it has been less explored in arid environments of asia. accordingly,...