Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Creating Robust Solutions by Means of Evolutionary Algorithms
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Advances in evolutionary computing
Toward a theory of evolution strategies: Some asymptotical results from the (1,+ λ)-theory
Evolutionary Computation
Genetic algorithms with a robust solution searching scheme
IEEE Transactions on Evolutionary Computation
Evolutionary optimization in uncertain environments-a survey
IEEE Transactions on Evolutionary Computation
Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation
IEEE Transactions on Evolutionary Computation
Using the uncertainty handling CMA-ES for finding robust optima
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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This paper introduces a new view on fitness evaluation when searching for robust optima. It proposes to compare solutions in (successive) populations with respect to how they rank in robustness instead of aiming for accurate robustness estimates. This can be done by focusing on the non-overlapping parts of the regions of uncertainty of each pair of candidate solutions. An initial step toward a scheme implementing this view is made with the analysis and experiments on a simple scenario comparing two solutions on uniform input noise.