One of the most essential factors affecting socio-economic growth is energy. In addition to
rising fuel prices, climate change has led to an interest in finding alternative sources of …

Over the years, several achievements have been made in power generation and optimising
hybrid renewable energy systems (HRES) to achieve nature conservation, achieve energy …

Purpose The purpose of this paper is to investigate the performance of chaotic gravitational
search algorithm (CGSA) in solving mechanical engineering design frameworks including …

Image segmentation is one of the pivotal steps in image processing. Actually, it deals with
the partitioning of the image into different classes based on pixel intensities. This work …

Optimum design of space structures using hybrid particle swarm optimization and genetic
algorithm | Emerald Insight Books and journals Case studies Expert Briefings Open Access …

Purpose In this paper, a newly proposed hybridization algorithm namely constriction
coefficient-based particle swarm optimization and gravitational search algorithm …

The constriction coefficient-based particle swarm optimisation and gravitational search
algorithm (CPSOGSA) is a heuristic optimisation technique. It uses the diversification …

In this paper, a modified version of the Gravitational Search Algorithm (GSA) based on levy
flight and chaos theory namely LCGSA has been used to train Multilayer Perceptron (MLP) …

Abstract The Constriction Coefficient-based Particle Swarm Optimization and Chaotic
Gravitational Search Algorithm (CPSOCGSA) is a stochastic hybrid optimization technique. It …

Image segmentation is a pivotal phase in the image processing pipeline, offering detailed
insights into various image features. Traditional segmentation methods grapple with …