Anzeige
Erschienen in:
2017 | OriginalPaper | Buchkapitel
Gravitational Search Algorithm with a More Accurate Newton’s Gravitational Principle
verfasst von : Nor Azlina Ab. Aziz, Mohamad Nizam Aliman, Muhammad Sharfi Najib, Norazian Subari, Aminurafiuddin Zulkifli, Mohd Ibrahim Shapiai, Zuwairie Ibrahim
Erschienen in: Modeling, Design and Simulation of Systems
Verlag: Springer Singapore
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Gravitational search algorithm (GSA) is a metaheuristic population-based optimization algorithm inspired by the Newtonian law of gravity and law of motion. However, GSA has a fundamental problem. It has been reported that the force calculation in GSA is not genuinely based on the Newtonian law of gravity. Based on the Newtonian law of gravity, force between two masses in the universe is inversely proportional to the square of the distance between them. However, in the original GSA, R has been used. In this paper, a modification is done to GSA by considering the square of the distance between masses, which is R
2. The CEC2014 benchmark functions for real-parameter single objective optimization problems are employed in the evaluation. An important finding is that by considering the square of the distance between masses, significant improvement over the original GSA is observed provided a large gravitational constant should be used at the beginning of the optimization process.