Searching for authors named "Andreas Ostermeier" – sorted by Relevance.
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An Evolution Strategy with Coordinate System Invariant Adaptation of Arbitrary Normal Mutation Distributions Within the Concept of Mutative Strategy Parameter Control
- A self-adaptation of arbitrary normal mutation distributions within the concept of mutative strategy parameter control (MSC) using a newly formulated mutation operator is introduced. The coordinate system independent formulation ensures the invariance of the algorithm towards arbitrary linear
- Cited by 2 (1 self) – Add To MetaCart
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Adapting Arbitrary Normal Mutation Distributions in Evolution Strategies: The Covariance Matrix Adaptation
- A new formulation for coordinate system independent adaptation of arbitrary normal mutation distributions with zero mean is presented. This enables the evolution strategy (ES) to adapt the correct scaling of a given problem and also ensures invariance with respect to any rotation of the fitness func
- Cited by 101 (18 self) – Add To MetaCart
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Convergence Properties of Evolution Strategies with the Derandomized Covariance Matrix Adaptation: The ...-CMA-ES
- The intermediate (center of mass) recombination of object parameters is introduced in the evolution strategy with derandomized covariance matrix adaptation (CMA-ES). On various (unimodal) real space fitness functions convergence properties and robustness against distorted selection are tested for di
- Cited by 48 (7 self) – Add To MetaCart
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Completely Derandomized Self-Adaptation in Evolution Strategies
- This paper puts forward two useful methods for self-adaptation of the mutation distribution -- the concepts of derandomization and cumulation. Principle shortcomings of the concept of mutative strategy parameter control and two levels of derandomization are reviewed. Basic demands on the self-adapta
- Cited by 142 (21 self) – Add To MetaCart
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Sizing the population with respect to the local progress in (1,λ)-evolution strategies — a theoretical analysis
- This paper presents an analysis of the local serial rate of progress with respect to the number of offspring X for the (1,X)-evolution strategy. It is shown that local serial progress is maximized when the expected progress of the second best offspring is zero. The theoretical results lead to a simp
- Cited by 3 (1 self) – Add To MetaCart
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A Derandomized Approach to Self Adaptation of Evolution Strategies
- Comparable to other optimization techniques, the performance of Evolution Strategies (ESs) depends on a suitable choice of internal strategy control parameters. Apart from a fixed setting, ESs facilitate an adjustment of such parameters within a selfadaptation process. For step-size control in pa
- Cited by 36 (6 self) – Add To MetaCart
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Step-size Adaptation Based on Non-local Use of Selection Information
- Abstract. The performance of Evolution Strategies (ESs) depends on a suitable choice of internal strategy control parameters. Apart from a fixed setting, ESs facilitate an adjustment of such parameters within a self-adaptation process. For step-size control in particular, various adaptation concepts
- Cited by 35 (5 self) – Add To MetaCart
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On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation
- A new adaptation scheme for adapting arbitrary normal mutation distributions in evolution strategies is introduced. It can adapt correct scaling and correlations between object parameters. Furthermore, it is independent of any rotation of the objective function and reliably adapts mutation dis
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