Hot off the Press: From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds

Author:

Doerr Benjamin12ORCID,Qu Zhongdi12ORCID

Affiliation:

1. Ecole Polytechnique, Palaiseau, France

2. Laboratoire d'Informatique (LIX), Palaiseau, France

Funder

Agence National de Recherche

Publisher

ACM

Reference15 articles.

1. Chao Bian and Chao Qian . 2022 . Better running time of the non-dominated sorting genetic algorithm II (NSGA-II) by using stochastic tournament selection. In Parallel Problem Solving From Nature , PPSN 2022. Springer, 428--441. Chao Bian and Chao Qian. 2022. Better running time of the non-dominated sorting genetic algorithm II (NSGA-II) by using stochastic tournament selection. In Parallel Problem Solving From Nature, PPSN 2022. Springer, 428--441.

2. Design and analysis of diversity-based parent selection schemes for speeding up evolutionary multi-objective optimisation

3. Duc-Cuong Dang , Andre Opris , Bahare Salehi , and Dirk Sudholt . 2023 . A proof that using crossover can guarantee exponential speed-ups in evolutionary multiobjective optimisation . In Conference on Artificial Intelligence, AAAI 2023. AAAI Press. To appear. Duc-Cuong Dang, Andre Opris, Bahare Salehi, and Dirk Sudholt. 2023. A proof that using crossover can guarantee exponential speed-ups in evolutionary multiobjective optimisation. In Conference on Artificial Intelligence, AAAI 2023. AAAI Press. To appear.

4. A fast and elitist multiobjective genetic algorithm: NSGA-II

5. Lower bounds for the runtime of a global multi-objective evolutionary algorithm

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