On the Equivalence Between Stochastic Tournament and Power-Law Ranking Selection and How to Implement Them Efficiently
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-70071-2_15
Reference33 articles.
1. Bian, C., Qian, C.: Running time analysis of the non-dominated sorting genetic algorithm II (NSGA-II) using binary or stochastic tournament selection. arXiv preprint arXiv:2203.11550 (2022)
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3. Bian, C., Zhou, Y., Li, M., Qian, C.: Stochastic population update can provably be helpful in multi-objective evolutionary algorithms. Proc. Int. Joint Conf. Artif. Intell. 2023, 5513–5521 (2023)
4. Blickle, T., Thiele, L.: A comparison of selection schemes used in evolutionary algorithms. Evol. Comput. 4(4), 361–394 (1996)
5. Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to Algorithms, 3rd edn. The MIT Press (2009)
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