Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems

• DOI: 10.1007/s10462-024-10723-4
• Publication Date: 2024-03-23T06:35:07Z
• Authors: Jun Wang; Wen-chuan Wang; Xiao-xue Hu; Lin Qiu; Hong-fei Zang
• Keywords: Kite; Benchmark (surveying); Meta heuristic

Abstract This paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic optimization algorithm inspired by migratory and predatory behavior of black kite. The BKA integrates Cauchy mutation strategy Leader to enhance global search capability convergence speed algorithm. novel combination achieves good balance between exploring solutions utilizing local information. Against standard test function sets CEC-2022 CEC-2017, as well other complex functions, attained best performance in 66.7, 72.4 77.8% cases, respectively. effectiveness is validated through detailed analysis statistical comparisons. Moreover, its application solving five practical engineering design problems demonstrates potential addressing constrained challenges real world indicates that it has significant competitive strength comparison with existing techniques. In summary, proven value advantages variety due excellent performance. source code publicly available at https://www.mathworks.com/matlabcentral/fileexchange/161401-black-winged-kite-algorithm-bka .