Chaotic Quantum Double Delta Swarm Algorithm Using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues

Chaotic Quantum Double Delta Swarm Algorithm Using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues

The Quantum Double Delta Swarm (QDDS) Algorithm is a networked, fully-connected novel metaheuristic optimization algorithm inspired by the convergence mechanism to the center of potential generated within a single well of a spatially colocated double–delta well setup. It mimics the wave nature of ca...

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Bibliographic Details
Main Authors: Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Journal of Sensor and Actuator Networks
Subjects:
quantum particle swarms
swarm intelligence
chaotic systems
optimization
Online Access:http://www.mdpi.com/2224-2708/8/1/9

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