Fuzzy Logic for Dynamic Parameter Tuning in ACO and Its Application in Optimal Fuzzy Logic Controller Design

Author:

Neyoy Héctor,Castillo Oscar,Soria José

Publisher

Springer International Publishing

Reference40 articles.

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2. Merkle, D., Middendorf, M.: Prospects for dynamic algorithm control: lessons from the phase structure of ant scheduling algorithms. In: Heckendorn R.B. (ed) Proceedings of the 2000 Genetic and Evolutionary Computation Conference—Workshop Program. Workshop “The Next Ten Years of Scheduling Research”, Morgan Kaufmann Publishers (2001)

3. Merkle, D., Middendorf, M., Schmeck, H.: Ant colony optimization for resource-constrained project scheduling. IEEE Trans. Evol. Comput. 6, 333–346 (2002)

4. B Meyer, Convergence control in ACO. Genetic and Evolutionary Computation Conference (GECCO), Seattle (2004)

5. Yen, J., Langari, R.: Fuzzy Logic: Intelligence, Control and Information. Prentice Hall, Englewood Cliffs (1999)

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