Ideal solution candidate search for starling murmuration optimizer and its applications on global optimization and engineering problems

In this article, a novel population selection method, fitness distance balance (FDB), and predictive candidate (PC) solution generation hybridization with starling murmuration optimizer (SMO), FDBPC-SMO are proposed. In FDBPC-SMO algorithm, FDB selects subpopulations instead of the separating search...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	The Journal of supercomputing 2024-02, Vol.80 (3), p.4083-4156
1. Verfasser:	Aydemir, Salih Berkan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Compilers Computer Science Convergence Global optimization Interpreters Population statistics Processor Architectures Programming Languages Qualitative analysis Search methods Statistical tests
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!