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2. 2002-beyer.pdf#page=2

3. 2002-beyer.pdf#page=7

4. 2002-beyer.pdf#page=20

5. 2002-beyer.pdf#page=31

6. 2002-beyer.pdf#page=44

7. Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien der biologischen Evolution

8. Evolution Strategy: Nature’s Way of Optimization

9. Case studies in evolutionary experimentation and computation

10. Towards Efficient Evolutionary Design of Autonomous Robots

11. Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents

12. Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari

13. Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

14. Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

15. ES-ENAS: Blackbox Optimization over Hybrid Spaces via Combinatorial and Continuous Evolution

16. Evolutionary implementation of Bayesian computations

17. ALPS: the age-layered population structure for reducing the problem of premature convergence

18. Effective Mutation Rate Adaptation through Group Elite Selection

19. Information Geometry and Evolutionary Game Theory

20. Wikipedia Bibliography:

    1. Evolutionary computation

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       https://en.wikipedia.org/wiki/Mutation_(evolutionary_algorithm)

    3. https://en.wikipedia.org/wiki/Selection_(evolutionary_algorithm)

       https://en.wikipedia.org/wiki/Selection_(evolutionary_algorithm)

    4. Genetic recombination