This article solves first and second order differential equations with initial and/or boundary
conditions by transforming these equations into unconstrained/bound constrained …

Nowadays, use of various types of hybrid metaheuristic algorithms attracts the researchers
to optimize the average profit or cost of an inventory system to avoid the local optimality due …

The real‐world complex networks, such as biological, transportation, biomedical, web, and
social networks, are usually dynamic and change over time. The communities which reflect …

Modular redundancy plays a significant role for designing a reliable system. This study
examines the optimization of system reliability in a modular redundancy allocation problem …

Delay optimization has now emerged as an important optimization goal in logic synthesis.
The delay optimization for ternary fixed polarity Reed–Muller (FPRM) circuits aims to find a …

The number of solutions obtained is too large to provide a set of solutions with good
performance in the nearby area of the true Pareto front when problem-specific preferences …

The objective of this article is to introduce several new methods or techniques for solving
simultaneous linear and nonlinear system of equations with the help of a new hybrid …

The real‐world optimal problems frequently encountered by various industries are the
nonlinear constrained optimization problems (NCOPs), where the constraints represent the …

This study utilized the deep belief network (DBN) model to predict permeability, which has
been shown to be superior in data fitting compared to traditional machine learning models …

This paper deals with the hybrid population-based metaheuristic algorithm through league-
knockout tournamenting process. In the tournament of popular games, as per performance …