Publisher
Springer Berlin Heidelberg
Reference12 articles.
1. Arnold, D.V., Beyer, H.-G.: A comparison of evolution strategies with other direct search methods in the presence of noise. Computational Optimization and Applications 24, 135–159 (2003)
2. Droste, S., Jansen, T., Wegener, I.: Dynamic parameter control in simple evolutionary algorithms. In: Proceedings of FOGA 2000, pp. 275–294 (2000)
3. Droste, S., Jansen, T., Wegener, I.: On the analysis of the (1 + 1) EA. Theoretical Computer Science (276), 51–81 (2002)
4. Droste, S.: Analysis of the (1+1) EA for a dynamically changing OneMaxvariant. In: Proceedings of CEC 2002, pp. 55–60 (2002)
5. Droste, S.: Analysis of the (1+1) EA for a dynamically bit-wise changing OneMax-variant. In: Proceedings of GECCO 2003, pp. 909–921 (2003)
Cited by
39 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Already Moderate Population Sizes Provably Yield Strong Robustness to Noise;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14
2. Self-adaptation Can Improve the Noise-tolerance of Evolutionary Algorithms;Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms;2023-08-30
3. A Gentle Introduction to Theory (for Non-Theoreticians);Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15
4. Larger Offspring Populations Help the (1 + (λ, λ)) Genetic Algorithm to Overcome the Noise;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12
5. Analysing the Robustness of NSGA-II under Noise;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12