Multiple ant colony optimization using both novel LSTM network and adaptive Tanimoto communication strategy
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shanghai
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-02099-z.pdf
Reference44 articles.
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3. Stützle T, Hoos HH (2000) MAX-MIN Ant System. Future Gen Comput Syst 16:889–914
4. Abdelbar AM, Salama KM (2019) Parameter self-adaptation in an ant colony algorithm for continuous optimization. IEEE Access 7:18464–18479
5. Castillo O, Neyoy H, Soria J, Melin P, Valdez F (2015) A new approach for dynamic fuzzy logic parameter tuning in Ant Colony Optimization and its application in fuzzy control of a mobile robot. Appl Soft Comput 28:150–159
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