Hot off the Press: The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem
Author:
Affiliation:
1. École Polytechnique, Paris, France
2. Inria, Paris, France
3. École Polytechnique, Palaiseau, France
4. TU Wien, Vienna, Austria
Funder
FMJH Program Gaspard Monge
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3664080
Reference11 articles.
1. The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem
2. A fast and elitist multiobjective genetic algorithm: NSGA-II
3. Anh Viet Do, Aneta Neumann, Frank Neumann, and Andrew M. Sutton. 2023. Rigorous runtime analysis of MOEA/D for solving multi-objective minimum weight base problems. In Advances in Neural Information Processing Systems, NeurIPS 2023.
4. Benjamin Doerr and Frank Neumann (Eds.). 2020. Theory of Evolutionary Computation---Recent Developments in Discrete Optimization. Springer. Also available at http://www.lix.polytechnique.fr/Labo/Benjamin.Doerr/doerr_neumann_book.html.
5. A First Runtime Analysis of the NSGA-II on a Multimodal Problem
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