The real-valued satin bowerbird optimization (SBO) is a novel bio-inspired algorithm which imitates the ‘male-attracts-the-female for breeding’ principle of the specialized stick structure mechanism of satin birds. SBO has achieved success in congestion management, accurate software development effort estimation. In this paper, a complex-valued encoding satin bowerbird optimization algorithm (CSBO) is proposed aiming to enhance the global exploration ability. The idea of complex-valued coding and finds the optimal one by updating the real and imaginary parts value. With Complex-valued coding increase the diversity of the population, and enhance the global exploration ability of the basic SBO algorithm. The proposed CSBO optimization algorithm is compared against SBO and other state-of-art optimization algorithms using 20 benchmark functions. Simulation results show that the proposed CSBO can significantly improve the convergence accuracy and convergence speed of the original algorithm.
CITATION STYLE
Zhang, S., Zhou, Y., Luo, Q., & Abdel-Baset, M. (2018). A Complex-Valued Encoding Satin Bowerbird Optimization Algorithm for Global Optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10956 LNAI, pp. 834–839). Springer Verlag. https://doi.org/10.1007/978-3-319-95957-3_89
Mendeley helps you to discover research relevant for your work.