Abstract
The gravitational search algorithm (GSA) is a new meta-heuristic optimization method based on the law of gravity and mass interactions. An improved GSA (IGSA) is proposed in this paper where a neighbor search is employed to enhance the performance of GSA. The IGSA can obtain a better or best solution in a neighbor space through one or more times random neighbor search. Two different search methods are designed for the proposed improved gravitational search algorithm. In addition, the effect of the gravitational constant to the performance of the IGSA is discussed. Extensive computational experiments are carried out using well-known benchmark functions. Computational results and comparisons show the efficiency and effectiveness of the proposed IGSA.
Sign-in/Register to access full text options 
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.
