Improving an immune-inspired algorithm by linear regression: A case study on network reliability

Bio-inspired algorithms are widely and successfully used in solving complex optimization problems. However, a common challenge faced by these algorithms is getting stuck in local search spaces and failing to explore new regions to further enhance the solution. Such a limitation is often attributed t...

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Vydané v:	Knowledge-based systems Ročník 299; s. 112034
Hlavní autori:	Cutello, Vincenzo, Pavone, Mario, Zito, Francesco
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 05.09.2024
Predmet:	Dynamic mutation rate Immune algorithm Machine learning Metaheuristic Network optimization Network reliability maximization Ordinary least squares regression Immune algorithm Network reliability maximization Metaheuristic Ordinary least squares regression Dynamic mutation rate Network optimization Machine learning
ISSN:	0950-7051, 1872-7409
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