preprint · Research Square
Abstract In this study, a new approach based on the Smith chart is proposed for multi-objective particle swarm optimization. With this approach, the position of each particle is updated according to the Smith chart’s impedance and admittance circles to determine the local best particle. The proposed method is applied to three test functions with different behaviors, namely concave, convex, and non-convex, and performance parameters are examined. In light of the obtained results, it has been observed that the proposed strategy offers successful convergence performance for multi-objective optimization applications and meets performance expectations with its obtained well-distributed solution set.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.21203/rs.3.rs-2829243/v1
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
