Nature-inspired metaheuristic algorithms have attracted much attention in the last decade,
and new algorithms have emerged almost every year with a vast, ever-expanding literature …

Proliferation of technologies in wireless sensor networks is grabbing huge attention across
scientific community due to its vast coverage in real life applications. It has emerged as an …

The objective of this study is the development of a novel parametric human body shape
modeling framework for integration into various product design applications. Our modeling …

Over the last few decades, many improved Evolutionary Algorithms (EAs) have been
proposed to tackle different types of optimization problems. Genetic Algorithm (GA) among …

Global optimization methods play an important role to solve many real-world problems.
Flower pollination algorithm (FP) is a new nature-inspired algorithm, based on the …

An Atkinson cycle engine with geometrical compression ratio (GCR) of 12.5 has been
designed by maximizing fuel economy at full load operating conditions based on the …

In this paper we present a chaos-based evolutionary algorithm (EA) for solving nonlinear
programming problems named chaotic genetic algorithm (CGA). CGA integrates genetic …

This work deals with the characterization of a hyperelastic material and the subsequent
validation in different stressed states. The well-known three-parameter Mooney–Rivlin …

In this paper, the transfer functions related to one-dimensional (1-D) and two-dimensional (2-
D) filters have been theoretically and numerically investigated. The finite impulse response …