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

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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Bibliographic Details
Main Author: Jerzy Balicki
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Entropy
Subjects:
particle swarm optimization
quantum gates
virtual machines
computing cloud
many-objective optimization
Online Access:https://www.mdpi.com/1099-4300/24/1/58

Internet

https://www.mdpi.com/1099-4300/24/1/58

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