Integrating Stein variational gradient descent into EDAs introduces repulsion among particles to jointly explore multiple optima in discrete black-box optimization, with competitive or superior results on large-scale problems.
Automated con- figuration of genetic algorithms by tuning for anytime performance.IEEE Transactions on Evolutionary Computation, 26(6):1526–1538, 2022
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Stein Variational Black-Box Combinatorial Optimization
Integrating Stein variational gradient descent into EDAs introduces repulsion among particles to jointly explore multiple optima in discrete black-box optimization, with competitive or superior results on large-scale problems.