Open AccessThe improved mayfly optimization algorithm with Chebyshev map
Author(s) -
Juan Zhao,
Zheng-Ming Gao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1684/1/012075
Subject(s) - mayfly , chebyshev filter , benchmark (surveying) , algorithm , computer science , optimization algorithm , mathematical optimization , mathematics , geology , botany , nymph , geodesy , computer vision , biology
The mayfly optimization (MO) algorithm was just proposed recently, simulation experiments proved that it was capable to optimize both the benchmark functions and the real problems we met. In this paper, the MO algorithm would be improved with Chebyshev map, simulation experiments were carried out and results showed that the improved algorithm would indeed increase the capability.