Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin's theory of
evolution and has been studied extensively to solve different areas of optimisation and …

Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …

This paper provides an application of the hybrid Grey Wolf Optimization and Particle Swarm
Optimization (GWO-PSO) method to reach a solution to the optimal reactive power dispatch …

With the development of urban and rural infrastructure, the power system is enforced to
operate nearly at its full capacity which result in heavily stressed power grid operation …

Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

In this paper, we proposed a novel fitness-value-independent Differential Evolution to tackle
complex real-parameter single-objective optimization. There were three innovations in the …

The penetration of renewable energy resources into electric power networks has been
increased considerably to reduce the dependence of conventional energy resources …

The appropriate control and management of reactive power is of great relevance in the
electrical reliability, stability, and security of power grids. This issue is considered in order to …

Differential evolution (DE) is an effective evolutionary algorithm for global optimization, and
widely applied to solve different optimization problems. However, the convergence speed of …

In the era of intelligent manufacturing, it is necessary to monitor the wear condition of
abrasive tools in real time to prevent the deterioration of workpiece quality due to tool …