Over Sampling Local Optima: Selection and Sampling Bias in Hybrid Genetic Algorithms
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70055-2_24
Reference21 articles.
1. Canonne, L., Derbel, B.: DRILS revisited: designing perturbation in graybox optimization techniques. In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2022, pp. 204-212. Association for Computing Machinery, New York (2022). https://doi.org/10.1145/3512290.3528774
2. Canonne, L., Derbel, B., Chicano, F., Ochoa, G.: To combine or not to combine graybox crossover and local search? In: GECCO 2023: Genetic and Evolutionary Computation Conference, pp. 257–265. ACM, Lisbon Portugal, Portugal (Jul 2023). https://doi.org/10.1145/3583131.3590466, https://inria.hal.science/hal-04379253
3. Chen, W., Whitley, D., Tinós, R., Chicano, F.: Tunneling between plateaus: improving on a state-of-the-art MAXSAT solver using partition crossover. In: GECCO Genetic and Evolutionay Computation Conference, pp. 921–928. ACM (2018)
4. Chicano, F., Whitley, D., Ochoa, G., Tinos, R.: Optimizing one million variable nk landscapes by hybridizing deterministic recombination and local search. In: Genetic and Evolutionary Computation Conference (GECCO), pp. 753–760. ACM (2017)
5. Dunton, P., Whitley, D.: Reducing the cost of partition crossover on large maxsat problems: the px-preprocessor. In: Genetic and Evolutionary Computation Conference (GECCO), pp. 694-702. ACM (2022)
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