A New Compound Swarm Intelligence Algorithms for Solving Global Optimization Problems
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 10, Issue 9
Abstract
This paper proposes a new hybrid swarm intelligence algorithm that encompasses the feature of three major swarm algorithms. It combines the fast convergence of the Cuckoo Search (CS), the dynamic root change of the Firefly Algorithm (FA), and the continuous position update of the Particle Swarm Optimization (PSO). The Compound Swarm Intelligence Algorithm (CSIA) will be used to solve a set of standard benchmark functions. The research study compares the performance of CSIA with that of CS, FA, and PSO, using the same set of benchmark functions. The comparison aims to test if the performance of CSIA is Competitive to that of the CS, FA, and PSO algorithms denoting the solution results of the benchmark functions.
Authors and Affiliations
Ibrahim M. Hezam, Osama Abdel Raouf, Mohey M. Hadhoud
Keywords
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- EP ID EP650255
- DOI 10.24297/ijct.v10i9.1389
- Views 94
- Downloads 0
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