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Ant colony optimization with dynamic parameter adaptation based on interval type-2 fuzzy logic systems

Frumen Olivas^a, Fevrier Valdez^a, Oscar Castillo^a✉, Claudia I. González^a, Gabriela E. Martínez^a, Patricia Melín^a

^aTijuana Institute of Technology, Tijuana, Mexico
✉Corresponding author

Applied Soft Computing Elsevier BV2016-12-26 157 citations41 references

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TL;DRA dynamic parameter adaptation methodology for Ant Colony Optimization (ACO) based on interval type-2 fuzzy systems is presented, to be able to apply this new ACO method with parameter adaptation to a wide variety of problems without the need of finding the best parameters for each particular problem. (Semantic Scholar)

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Ant colony optimization with dynamic parameter adaptation based on interval type-2 fuzzy logic systems

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