The present study aims to optimize the engineering design and manufacturing problems
with a novel hybrid optimizer named: AOA-NM (Arithmetic optimization-Nelder mead). To …

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 …

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 …

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 …

Abstract The recently introduced Artificial Hummingbird Algorithm (AHA) exhibits competitive
performance in developing optimization concerns. However, AHA has an imbalance …

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

Over the last few decades, the implementation of emission regulation by the government
due to the impact of emissions from the industrial sector on the environment has included a …

Due to its low dependency on the control parameters and straightforward operations, the
Artificial Electric Field Algorithm (AEFA) has drawn much interest; yet, it still has slow …

It has been interesting in industrial applications due to the advantages provided by
laminated composite applications. Composite materials are of great importance in design …

In this research, a hybrid algorithm called a Gradient Artificial Hummingbird Algorithm
(GAHA) is developed for reducing energy cost (EC) of microgrid system; this hybrid …