This study proposes a novel hybrid computational approach that integrates the artificial
dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal …

The Boolean satisfiability problem is one of the most important decision problems in
mathematical logic and computational science for determining whether or not a solution to a …

The Weibull distribution is one of the most popular statistical models extensively applied to
lifetime data analysis such as survival data, reliability data, wind speed, and recently in …

In this paper, a modified internal rate of return (MIRR) has been presented on the
assumption of Weibull distribution to investigate the investment's attractiveness in the …

This study examines the estimation of parameters for the Shifted Weibull Distribution (SWD)
using several robust metaheuristic algorithms, with a focus on enhancing precision and …

In this study, a simulated annealing algorithm (SAA) has been incorporated in the Weibull
Distribution (WD) for Valuation of Investment Return. The purpose is to examine the …

It is well recognized that human societies and their problem-solving capabilities have
evolved much faster than biological evolution. The inspiration from human behaviors …

Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing
discrete Hopfield neural network wi Page 1 AIMS Mathematics Volume 9, Issue 11 …

Artificial neural network (ANN) possesses a comprehensive structure of training and testing
stages that made it one of the most efficient tools in patterns and knowledge extraction in …