References
- T. Back, "Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms," Oxford University Press, Oxford, UK, 1996.
- T. Bartz-Beielstein, "New Experimentalism Applied to Evolutionary Computation," Ph. D. Thesis, University of Dortmund, 2005.
- Y. Jin and J. Branke, "Evolutionary Optimization in Uncertain Environmentsv-a Survey," IEEE Transactions on Evolutionary Computation, 9(3):303-317, 2005. https://doi.org/10.1109/TEVC.2005.846356
- R. L. Anderson, "Recent Advances in Finding Best Operating Conditions," Journal of the American Statistical Association, 1953.
- E. Aarts, and J. Korst, 1989, "Simulated Annealing and Boltzmann Machines - a Stochastic Approach to Combinatorial Optimization and Neural Computing," Wiley, New York, p. 272, 1989.
- J. Kennedy and R. Eberhart, "Particle Swarm Optimization", Proc. IEEE Int. Conf. Neudral Networks, pp. 1942-1948, 1995.
- L. M. Gambardella and M. Dorigo, "Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem," IEEE Transactions on Evolutionary Computation, Vol. 1, No. 1, pp. 53- 66, 1997. https://doi.org/10.1109/4235.585892
- D. Beasley, D. R. Bull and Martin R. R., "An Overview of Genetic Algorithms : Fundamentals," Morgan Kaufmann, 1993.
- T. Back, "Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms", Oxford University Press, 1996.
- Y. Akimoto, S. A. Morales, and Teytaud O., "Analysis of Runtime of Optimization Algorithms for Noisy Functions Over Discrete Codomains," Theoretical Computer Science, Vol. 605, pp. 42-50, 2015. https://doi.org/10.1016/j.tcs.2015.04.008
- T. Back, and U. Hammel, "Evolution Strategies Applied to Perturbed Objective Functions," in Proceedings of IEEE Congress on Evolutionary Computation, pp. 40-45, 1994.
- B. L. Miller, "Noise, Sampling, and Efficient Genetic Algorithms," Ph. D. Thesis, Department of Computer Science, University of Illinoisat UrbanaChampaign, TR 97001, 1997.
- A. N. Aizawa, and B. W. Wah, "Scheduling of Genetic Algorithms in a Noisy Environment," Evolutionary Computation, Vol. 2, No. 2, pp. 97-122, 1994. https://doi.org/10.1162/evco.1994.2.2.97
- J. E. Fieldsend, "Elite Accumulative Sampling Strategies for Noisy Multi-Objective Optimisation," Proceedings of Evolutionary MultiCriterion Optimization, Springer International Publishing, pp. 172-186, 2015.
- T. Park, and K. R. Ryu, "Accumulative Sampling for Noisy Evolutionary Multi-Objective Optimization," Proceedings of the ACM 13th Annual Conference on Genetic and Evolutionary Computation, pp. 793-800, 2011.
- A. D. Pietro, "Optimising Evolutionary Strategies for Problems with Varying Noise Strength," Ph. D. Thesis, University of Western Australia, 2007.
- Z. Zhang, and T. Xin, "Immune Algorithm with Adaptive Sampling in Noisy Environments and its Application to Stochastic Optimization Problems," IEEE Computational Intelligence Magazine, Vol. 2, No. 4, pp. 29-40, 2007. https://doi.org/10.1109/MCI.2007.906681
- A. D. Pietro, "Optimising Evolutionary Strategies for Problems with Varying Noise Strength," Ph. D. Thesis, University of Western Australia, 2007.
- F. Siegmund, "Sequential Sampling in Noisy Multi-Objective Evolutionary Optimization," Master's Thesis, University of Skovde, School of Humanities and Informatics, 2009.
- R. L. Hardy, "Multiquadric Equations of Topography and Other Irregular Surfaces," Journal of Geophysical Research, Vol. 76, No. 8, pp. 1905-1915, 1971. https://doi.org/10.1029/JB076i008p01905
- J. Sacks et. al., "Design and Analysis of Computer Experiments," Statistical Science, Vol. 4, No. 4, pp. 409-435, 1989.
- R. H. Myers el. al., "Response Surface Methodology: Process and Product Optimization Using Designed Experiments," Vol. 705, John Wiley & Sons, 2009.
- L. L. Schumaker, "Spline Functions: Basic Theory," Cambridge Mathematical Library, Cambridge University Press, Cambridge, Uk, 3rd edition, 2007.
- V. N. Vapnik, "Statistical Learning Theory, Adaptive and Learning Systems for Signal Processing, Communications, and Control," John Wiley & Sons, New York, USA, 1998.