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  1. Crossover can guarantee exponential speed-ups in evolutionary multi-objective optimisation.Duc-Cuong Dang, Andre Opris & Dirk Sudholt - 2024 - Artificial Intelligence 330 (C):104098.
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  • Mathematical runtime analysis for the non-dominated sorting genetic algorithm II (NSGA-II).Weijie Zheng & Benjamin Doerr - 2023 - Artificial Intelligence 325 (C):104016.
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  • Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms.Chao Qian, Yang Yu, Ke Tang, Xin Yao & Zhi-Hua Zhou - 2019 - Artificial Intelligence 275 (C):279-294.
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  • An analysis on recombination in multi-objective evolutionary optimization.Chao Qian, Yang Yu & Zhi-Hua Zhou - 2013 - Artificial Intelligence 204 (C):99-119.
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  • Optimizing group learning: An evolutionary computing approach.Igor Douven - 2019 - Artificial Intelligence 275 (C):235-251.
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