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 …

Electricity can be provided to small‐scale communities like commercial areas and villages
through microgrid, one of the small‐scale, advanced, and independent electricity systems …

The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

This study proposes improved tunicate swarm algorithm (ITSA) for solving and optimizing
the dynamic economic emission dispatch (DEED) problem. The DEED optimization target is …

In this article, a new optimization technique known as Kho-Kho optimization (KKO) algorithm
is presented. This proposed technique is a population based meta-heuristic method which is …

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 …

Researchers are increasingly focusing on renewable energy due to its high reliability,
energy independence, efficiency, and environmental benefits. This paper introduces a novel …

This study presents the Enhanced Cheetah Optimizer Algorithm (ECOA) designed to tackle
the intricate real-world challenges of dynamic economic dispatch (DED). These complexities …

The modest objective is to check the integrated effect of energy storage systems (ESSs) and
distributed generations (DGs) and compare the optimization of the size and location of ESS …

Wind power generation is considerably dependent on the weather condition and it is
correlated closely with the air density, wind speed, and its direction through considering the …