xlOptimizer implements many variants of Genetic Algorithms for permutation-type problems.

xlOptimizer implements many variants of Genetic Algorithms (GA), which have become a standard tool for optimization.

xlOptimizer implements μGA (microGA), a variant of GA that utilizes a very small population.

xlOptimizer implements SawtoothGA, a variant of Genetic Algorithms that uses variable population size and partial re-initialization of the population.

xlOptimizer implements Greedy Ascent Hill Climber (GAHC), a local optimizer that can be applied to a binary chromosome.

xlOptimizer fully implements the Registrar, a memory operator which increases the performance of Evolutionary Algorithms in case of expensive function evaluations.