Abstract
This note describes a simplified parameter-free implementation of Central Force Optimization for use in deterministic multidimensional search and optimization. The user supplies only the objective function to be maximized, nothing more. The algorithm’s performance is tested against a widely used suite of twenty three benchmark functions and compared to other state-of-the-art algorithms. CFO performs very well.
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Formato, R.A. (2010). Parameter-Free Deterministic Global Search with Simplified Central Force Optimization. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_39
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DOI: https://doi.org/10.1007/978-3-642-14922-1_39
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