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Sparse Covariance Matrix Adaptation Techniques for Evolution Strategies
2015Evolution strategies are variants of evolutionary algorithms. In contrast to genetic algorithms, their search process depends strongly on mutation. Since the search space is often continuous, evolution strategies use a multivariate normal distribution as search distribution. This necessitates the tuning and adaptation of the covariance matrix.
Silja Meyer-Nieberg, Erik Kropat
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Doubly Adaptive Covariance Matrix Taper Universal Beamformer
OCEANS 2022, Hampton Roads, 2022Savas Erdim +4 more
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Covariance Matrix Adaptation Evolution Strategy optimization algorithm
2021Shirkov, Aleksandr, Volkov, Evgeny
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CMA-ES with exponential based multiplicative covariance matrix adaptation for global optimization
Swarm and Evolutionary Computation, 2023Rammohan Mallipeddi
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A Dynamic Partial Update for Covariance Matrix Adaptation
Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023Hiroki Shimizu, Masashi Toyoda
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Human papillomavirus vaccination 2020 guideline update: American Cancer Society guideline adaptation
Ca-A Cancer Journal for Clinicians, 2020Robert A Smith
exaly
A knowledge-based differential covariance matrix adaptation cooperative algorithm
Expert Systems With Applications, 2021Fuqing Zhao
exaly
Covariance Matrix Adaptation Evolution Strategy without a matrix
Proceedings of the Genetic and Evolutionary Computation Conference CompanionJarosław Arabas +4 more
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