Author:
Gabor Thomas,Linnhoff-Popien Claudia
Publisher
Springer International Publishing
Reference15 articles.
1. Brown, G., Wyatt, J., Harris, R., Yao, X.: Diversity creation methods: a survey and categorisation. Inf. Fusion 6(1), 5–20 (2005)
2. DEAP Project: Benchmarks (2020).
https://deap.readthedocs.io/en/master/api/benchmarks.html
. Accessed June 1 2020
3. Dewey, D.: Reinforcement learning and the reward engineering principle. In: 2014 AAAI Spring Symposium Series (2014)
4. Doerr, B., Happ, E., Klein, C.: Crossover can provably be useful in evolutionary computation. Theoret. Comput. Sci. 425, 17–33 (2012)
5. Droste, S., Jansen, T., Wegener, I.: On the analysis of the (1+1) evolutionary algorithm. Theoret. Comput. Sci. 276(1–2), 51–81 (2002)
Cited by
3 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. Final Productive Fitness for Surrogates in Evolutionary Algorithms;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14
2. Productive fitness in diversity-aware evolutionary algorithms;Natural Computing;2021-04-29
3. Rigorous Engineering of Collective Adaptive Systems Introduction to the 3rd Track Edition;Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles;2020