Abstract
A new technique titled \Particle Refresh and a hybridization with conjugate gradient method are introduced to particle swarm optimization (PSO). The former charges power to inactive particle to improve the recovery ability of PSO after trapping on a local solution, and as a result, it becomes easy to choose suitable values for control-parameters to keep high performance for diverse objective functions. On the other hand, the point of the latter is how to determine the changeover timing between a conjugate gradient method and a PSO algorithm.
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.
