1. The (1 + (
λ,λ
)) GA is even faster on multimodal problems
2. Thomas Bäck . 1996. Evolutionary Algorithms in Theory and Practice - Evolution Strategies , Evolutionary Programming, Genetic Algorithms . Oxford University Press . Thomas Bäck. 1996. Evolutionary Algorithms in Theory and Practice - Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press.
3. Generalized jump functions
4. Chao Bian , Yawen Zhou , Miqing Li , and Chao Qian . 2023 . Stochastic population update can provably be helpful in multi-objective evolutionary algorithms . In International Joint Conference on Artificial Intelligence, IJCAI 2023. To appear. Chao Bian, Yawen Zhou, Miqing Li, and Chao Qian. 2023. Stochastic population update can provably be helpful in multi-objective evolutionary algorithms. In International Joint Conference on Artificial Intelligence, IJCAI 2023. To appear.
5. Duc-Cuong Dang , Anton V. Eremeev , and Per Kristian Lehre . 2021 . Escaping Local Optima with Non-Elitist Evolutionary Algorithms. In AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI Press, 12275--12283. Duc-Cuong Dang, Anton V. Eremeev, and Per Kristian Lehre. 2021. Escaping Local Optima with Non-Elitist Evolutionary Algorithms. In AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI Press, 12275--12283.