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

Power generation system largely depends on fossil fuels to generate electricity. Due to
various reasons, the reserves of fossil fuels are declining and will become too expensive in …

A player unknown's battlegrounds (PUBG) ranking based optimization (PRBO) algorithm is
proposed. It is based on the ranking scheme of a popular battle royale game PUBG where …

The reliability assessment of a power system has become a significant subject in the power
sector for both utilities and customers due to sudden increase in demand of a reliable power …

In this study we present a new and effective grouping optimization algorithm (namely, the
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …

In this paper, Chaotic Artificial Ecosystem-based Optimization Algorithm (CAEO) is proposed
and utilized to determine the optimal solution which achieves the economical operation of …

This paper presents a new optimization technique developed based on harmony search
algorithm (HSA), called chaotic improved harmony search algorithm (CIHSA). In the …

The economic load dispatch (ELD) problems considering nonlinear characteristics such as
valve point effects (VPE), multiple fuels (MF), transmission network losses, ramp rate limits …

This study implements a potent Multiobjective Multi-Verse Optimization algorithm to solve
the highly complicated combined economic emission dispatch and combined heat and …

Power system applications often require solving one or multiple optimization problems
which are nonlinear. Due to the limitations such as dimensionality constraints and slow …