Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …

All the population-based optimization algorithms are probabilistic algorithms and require
only a few control parameters including number of candidates, number of iterations, elite …

Several metaheuristic optimization algorithms have been developed to solve the real-world
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …

Optimization is the process of searching for the optimal (best-so-far) solution among a wide
range of solutions. Besides, in the last two decades, a family of algorithms known as …

Reducing pollutant emissions from electricity production in the power system positively
impacts the control of greenhouse gas emissions. Boosting kernel search optimizer (BKSO) …

In recent decades, the world has witnessed a great expansion in the world of technology
and electronics, in addition to the tremendous development in various industries, which has …

In this paper, a new optimal method is proposed to select unknown parameters of the proton
exchange membrane fuel cell (PEMFC) models. The method was based on minimizing the …

Based on the principle that the upgrading of any nation begins by raising the level of
performance of its institutions that serve the community, including the Ministry of Electricity …

With the increasing complexity of optimization problems in the real world, more and more
intelligent algorithms are used to solve these problems. Elephant herding optimization …

This study presents an exergy assessment methodology for a power production system
defined by a high-temperature proton exchange membrane fuel cell. The evaluated structure …