Chaotic sequences to improve the performance of evolutionary algorithms
By R. Caponetto, L. Fortuna, S. Fazzino, M. Xibilia. IEEE Transactions on Evolutionary Computation, 2003
512 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/fd9196d4b688b1acd2d2d4a63b3a5a9f6f488040
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In Artificial Intelligence
In Statistical and Nonlinear Physics
Citations in the corpus
- An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems (2010, background): “One of the dynamic systems evidencing chaotic behavior is the iterator called the logistic map [26], whose equation is described as follows:”
- Economic dispatch using chaotic bat algorithm (2016, background): “Chaotic maps or sequences have been used instead of random numbers in different stages of an algorithm to improve the performance [26].”
- Chaotic Local Search-Based Differential Evolution Algorithms for Optimization (2021, background): “In evolutionary algorithms (EAs) [28], they have been adopted in selection, crossover, and mutation operations to compare with the sequences generated by random number generators (RNGs).”
- Fractional Order Fuzzy Control of Hybrid Power System with Renewable Generation Using Chaotic PSO (2016, methodology): “2027 x = and the parameter 4 a = has been taken similar to that in [36], [37].”