Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …

Gravitational Search Algorithm (GSA) is one of the recent nature inspired algorithms which is
capable to solve optimization problems. GSA is inspired by the Newtonian's law of gravity …

Multi-level image thresholding segmentation divides an image into multiple non-overlap**
regions. This paper presents a novel two-dimensional (2D) histogram-based segmentation …

Gravitational search algorithm is an effective population-based algorithm. It simulates the
law of gravity to implement the interaction among particles. Although it can effectively …

Gravitational search algorithm (GSA) inspired by the law of gravity is a swarm intelligent
optimization algorithm. It utilizes the gravitational force to implement the interaction and …

Noisy optimization is currently receiving increasing popularity for its widespread applications
in engineering optimization problems, where the objective functions are often found to be …

Abstract Gravitational Search Algorithm (GSA) is a stochastic population-based
metaheuristic designed for solving continuous optimization problems. It has a flexible and …

Abstract Nature-Inspired Computing or NIC for short is a relatively young field that tries to
discover fresh methods of computing by researching how natural phenomena function to …

Dynamic constrained optimization problems (DCOPs) are difficult to solve because both
objective function and constraints can vary with time. Although DCOPs have drawn attention …

Gravitational search algorithm is a popular adaptive search algorithm among nature-
inspired algorithms and has been successfully used for optimizing many real-world …