Average-inertia weighted cat swarm optimization
Advances in Swarm Intelligence: Second International Conference, ICSI 2011 …, 2011•Springer
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 ofalgorithm. Experimental results
using Griewank, Rastrigin and Ackley functions demonstrate that the proposed algorithm
has much better convergence than pure CSO.
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 ofalgorithm. Experimental results
using Griewank, Rastrigin and Ackley functions demonstrate that the proposed algorithm
has much better convergence than pure CSO.
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 ofalgorithm. Experimental results using Griewank, Rastrigin and Ackley functions demonstrate that the proposed algorithm has much better convergence than pure CSO.
Springer
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