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Dynamic parameter adaptation in particle swarm optimization using interval type-2 fuzzy logic

Frumen Olivas^{a b}, Fevrier Valdez^{a b}, Oscar Castillo^{a b}✉, Patricia Melín^{a b}

^aTijuana Institute of Technology, Tijuana, Mexico
^bTijuana Institute of Technology, Tijuana, Mexico#TAB#
✉Corresponding author

Soft Computing Springer Science+Business Media2014-12-22 140 citations33 references

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TL;DRAn improvement to the convergence and diversity of the swarm in PSO using interval type-2 fuzzy logic and simulation results show that the proposed approach improves the performance of PSO. (Semantic Scholar)

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Dynamic parameter adaptation in particle swarm optimization using interval type-2 fuzzy logic

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