Parameter Self-Adaptation in an Ant Colony Algorithm for Continuous Optimization

Parameter Self-Adaptation in an Ant Colony Algorithm for Continuous Optimization

ACO<sub>R</sub> is a well-established ant colony optimization algorithm for continuous-domain optimization. We present an approach for the dynamic adaptation of the ACOR algorithm's controlling parameters, focusing on the search width parameter, based on using several pre-specified...

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Bibliographic Details
Main Authors: Ashraf M. Abdelbar, Khalid M. Salama
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Collective intelligence
evolutionary computation
adaptive algorithm
optimization methods
ant colony optimization
Online Access:https://ieeexplore.ieee.org/document/8629862/

Internet

https://ieeexplore.ieee.org/document/8629862/

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