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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Bibliografski detalji

Glavni autori:	Rajasekar P, Jayalakshmi M
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2026-01-01
Serija:	Scientific Reports
Teme:	Meta-heuristic algorithms Black-winged kite algorithm Blended opposition based learning Midpoint mutation strategy Engineering optimization problems
Online pristup:	https://doi.org/10.1038/s41598-025-31729-0
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