10 citations · 10 across the 6 of their papers we have counts for
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cs.NE2024
Optimizing Genetic Algorithms Using the Binomial Distribution
Vincent A. Cicirello
Evolutionary algorithms rely very heavily on randomized behavior. Execution speed, therefore, depends strongly on how we implement randomness, such as our choice of pseudorandom nu…
cs.NE2024
Open Source Evolutionary Computation with Chips-n-Salsa
Vincent A. Cicirello
When it was first introduced, the Chips-n-Salsa Java library provided stochastic local search and related algorithms, with a focus on self-adaptation and parallel execution. For th…
cs.NE2023★ 10 cited
A Survey and Analysis of Evolutionary Operators for Permutations
Vincent A. Cicirello
There are many combinatorial optimization problems whose solutions are best represented by permutations. The classic traveling salesperson seeks an optimal ordering over a set of c…