Abstract
An adaptive hybrid artificial fish swarm algorithm (AHAFSA) is proposed, which uses the Hooke-Jeeves pattern search method as a local search operator embedded in artificial fish swarm algorithm (AFSA) to speed up the local search. Then the paper Uses AHAFSA to solve the real roots of polynomials, the numerical experiment results show that the AHAFSA not only can effectively locate the global optimum, but also have a rather high convergence speed. It is a promising approach for solving the real roots of polynomials.
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Xue, P. (2014). Adaptive Hybrid Artificial Fish School Algorithm for Solving the Real Roots of Polynomials. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_6
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DOI: https://doi.org/10.1007/978-3-319-09333-8_6
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