Many-Objective Quantum-Inspired Particle Swarm Optimization Algorithm for Placement of Virtual Machines in Smart Computing Cloud

Particle swarm optimization algorithm (PSO) is an effective metaheuristic that can determine Pareto-optimal solutions. We propose an extended PSO by introducing quantum gates in order to ensure the diversity of particle populations that are looking for efficient alternatives. The quality of solution...

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Detalles Bibliográficos
Autor principal: Balicki, Jerzy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775184/
https://www.ncbi.nlm.nih.gov/pubmed/35052084
http://dx.doi.org/10.3390/e24010058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775184/
https://www.ncbi.nlm.nih.gov/pubmed/35052084
http://dx.doi.org/10.3390/e24010058

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