Cite
How majority-vote crossover and estimation-of-distribution algorithms cope with fitness valleys.
MLA
Witt, Carsten. “How Majority-Vote Crossover and Estimation-of-Distribution Algorithms Cope with Fitness Valleys.” Theoretical Computer Science, vol. 940, Jan. 2023, pp. 18–42. EBSCOhost, https://doi.org/10.1016/j.tcs.2022.08.014.
APA
Witt, C. (2023). How majority-vote crossover and estimation-of-distribution algorithms cope with fitness valleys. Theoretical Computer Science, 940, 18–42. https://doi.org/10.1016/j.tcs.2022.08.014
Chicago
Witt, Carsten. 2023. “How Majority-Vote Crossover and Estimation-of-Distribution Algorithms Cope with Fitness Valleys.” Theoretical Computer Science 940 (January): 18–42. doi:10.1016/j.tcs.2022.08.014.