Abstract
Aiming at the shortcomings that the gravitational search algorithm (GSA) is easy to fall into the local optima, this paper proposes a simplified gravitational search algorithm (SGSA). This improved gravitational search algorithm has the characteristics of faster optimization process and better convergence accuracy for solving unconstrained optimization problems. In the search process, SGSA discards the velocity and only performs the particles' position update including the particles acceleration. Ten benchmark functions are used to verify the performance of the SGSA algorithm, and the experimental results show that SGSA is better than the other four approaches with different improvement strategies for most cases.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
