The optimal parameter identification of lithium-ion (Li-ion) battery models is essential for
accurately capturing battery behavior and performance in electric vehicle (EV) applications …

In the realm of structural and bonding investigations within chemical systems, elucidating
global minimum energy configurations stands as a paramount goal. As the systems increase …

The present study introduces an efficient Self-Adaptive Bonobo Optimizer (SaBO) for
identifying the unknown parameters of the proton exchange membrane fuel cell (PEMFC). A …

In this study, we investigated the potential energy surface of BXY3 (X= B, Al, Ga; Y= C, Si,
Ge) clusters employing a few global optimization techniques. Remarkably, the global …

In this study, a very recently developed intelligent algorithm called the self-adaptive bonomo
optimizer (SABO) algorithm is implemented for the size and shape optimizations of the truss …

Incorporating renewable energy sources (RESs) introduces a notable amount of uncertainty
in the optimal planning and operation of electrical power grids. Under these circumstances …

The global expansion of the construction industry, the use of steel and concrete, materials
whose production is one of the primary sources of greenhouse gas emissions, has …

The construction industry's swift manufacturing of building materials has played a pivotal
role in environmental degradation worldwide. Researchers are now directing more focus …

Modern electrical power networks make extensive use of high voltage direct current
transmission systems based on voltage source converters due to their advantages in terms …

The research tackles the complex problem of accurately predicting cooling loads in the
context of energy efficiency and building management. It presents a novel approach that …