Average-inertia weighted cat swarm optimization

Authors:
Maysam Orouskhani;Mohammad Mansouri;Mohammad Teshnehlab
Affiliations:
Msc Student, Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran;Intelligent System Laboratory, faculty of Electrical Engineering, Control department, K.N. Toosi University of Technology, Tehran, Iran;Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Venue:
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Year:
2011

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Abstract

For improving the convergence of Cat Swarm Optimization (CSO), we propose a new algorithm of CSO namely, Average-Inertia Weighted CSO (AICSO). For achieving this, we added a new parameter to the position update equation as an inertia weight and used a new form of the velocity update equation in the tracing mode of algorithm. Experimental results using Griewank, Rastrigin and Ackley functions demonstrate that the proposed algorithm has much better convergence than pure CSO.