Abstract

In this study, we propose a variant of Particle Swarm Optimization (PSO) algorithm for chaotic synchronization based on PID control. The new method, called Improved Particle Swarm Optimization (IPSO) algorithm employs the global best position to execute a global searching strategy such that the position updating is well finished. In addition, the IPSO introduces a mutation operation in terms of the personal best positions. By combining the global searching strategy and mutation operation, the global searching capacity of the IPSO is enhanced, and it can easily get rid of the local optimums. The performance of the IPSO is investigated on four test examples and its results are compared with those of the PSO. The empirical analysis of the experimental results demonstrates the efficiency of the IPSO.

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 call

Disclaimer: 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.