Deep neural operators, such as DeepONet, have changed the paradigm in high-
dimensional nonlinear regression, paving the way for significant generalization and speed …

Nature-inspired metaheuristic algorithms are gaining popularity with their easy applicability
and ability to avoid local optimum points, and they are spreading to wide application areas …

Nature-inspired metaheuristic optimization algorithms have many applications and are more
often studied than conventional optimization techniques. This article uses the mountain …

Optimization techniques play a pivotal role in enhancing the performance of engineering
components across various real-world applications. Traditional optimization methods are …

Thermal system optimization is always a challenging task due to several constraints and
critical concepts of thermo-hydraulic aspects. Heat exchangers are one of those devices that …

In this article, a new prairie dog optimization algorithm (PDOA) is analyzed to realize the
optimum economic design of three well-known heat exchangers. These heat exchangers …

Agriculture is of great importance in all societies, serving as the fundamental basis for
producing food and ensuring the survival of human populations. The process of agricultural …

In recent years, there has been a logarithmic interest in three-dimensional printing
technologies. This technique has made it possible to make more intricately shaped parts of …

In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …

This paper introduces a novel approach, the Modified Electric Eel Foraging Optimization
(EELFO) algorithm, which integrates artificial neural networks (ANNs) with metaheuristic …