An improved adaptive-step butterfly mating optimization algorithm

Aiming at the problem of slow convergence for the butterfly mating optimization algorithm (BMO), an adaptive variable step size butterfly mating optimization algorithm (ASBMO), which combines threshold step size control mechanism with vector shift concept, is proposed for the first time. The algorit...

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Bibliographic Details
Published in2017 3rd IEEE International Conference on Computer and Communications (ICCC) pp. 717 - 723
Main Authors Yang, Yi-lei, Liu, Chao, Wu, Hua-ning
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2017
Subjects
Broadband antennas
butterfly mating optimization algorithm
Convergence
fixed step size
matching network
Optimization
Particle swarm optimization
Size control
Sociology
Statistics
threshold step size control mechanism
vector shift
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Summary:Aiming at the problem of slow convergence for the butterfly mating optimization algorithm (BMO), an adaptive variable step size butterfly mating optimization algorithm (ASBMO), which combines threshold step size control mechanism with vector shift concept, is proposed for the first time. The algorithm adjusts the iteration step by adjusting the displacement of the individual population before and after two successive iterations, and uses the attenuation characteristics of exponential function to limit the range of the step size. From the simulation results and compared with the same type of optimization algorithm, ASBMO has better performance in convergence speed, optimal solution, search efficiency and calculation accuracy. Moreover, the ASBMO is also applied to the design of matching network of a kind of broadband antenna, from the simulation results, the VSWR decreased significantly after antenna matching, indicating that ASBMO in engineering application is also achieved good results.
DOI:10.1109/CompComm.2017.8322637