Papers › Genetic algorithm formulation and tuning with use of test functions

Genetic algorithm formulation and tuning with use of test functions

6 Oct 2022arXiv:2210.03217archive 2025-07-28

Tomasz Tarkowski

This work discusses single-objective constrained genetic algorithm with floating-point, integer, binary and permutation representation. Floating-point genetic algorithm tuning with use of test functions is done and leads to a parameterization with comparatively outstanding performance.

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