Orthogonal Particle Swarm Optimization Algorithm and Its Application in Circuit Design

Xuesong Yan (China University of Geosciences, Wuhan)
Qinghua Wu (Wuhan Institute of Technology, Wuhan)
Hammin Liu (Wuhan Institute of Shipbuilding Technology, Wuhan)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 11, No 6: June 2013

In this paper, aim at the disadvantages of standard Particle Swarm Optimization (PSO) algorithm like being trapped easily into a local optimum, we improves the standard PSO and proposes a new algorithm to solve the overcomes of the standard PSO. The new algorithm keeps not only the fast convergence speed characteristic of PSO, but effectively improves the capability of global searching as well. Experiment results reveal that the proposed algorithm can find better solutions when compared to the standard particle swarm optimization algorithm. We use the proposed algorithm for digital circuit optimization design, and the final circuit is optimized in terms of complexity (with the minimum number of gates). DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2135