Adaptive memory-based opposition and midpoint mutation in black winged kite algorithm for global optimization and engineering applications

Abstract Metaheuristic algorithms play a vital role in addressing complex and nonlinear optimization problems. This study proposes an enhanced variant of the Black-winged Kite Algorithm (BKA), termed Adaptive Memory-based Opposition and Midpoint Mutation in BKA (AMOMM-BKA), developed to improve popu...

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Bibliografiset tiedot

Päätekijät:	Rajasekar P, Jayalakshmi M
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2026-01-01
Sarja:	Scientific Reports
Aiheet:	Meta-heuristic algorithms Black-winged kite algorithm Blended opposition based learning Midpoint mutation strategy Engineering optimization problems
Linkit:	https://doi.org/10.1038/s41598-025-31729-0
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