Results 271 to 280 of about 2,841,488 (326)
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An efficient conjugate gradient based Cholesky CMA‐ES estimation algorithm for nonlinear systems
International Journal of Robust and Nonlinear Control, 2023This article studies the parameter estimation problems of nonlinear systems with colored noise using the covariance matrix adaptation evolution strategy (CMA‐ES), which is one of the most competitive evolutionary algorithms available and has been applied
Yawen Mao, Chen Xu, Jing Chen, Yan Pu
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cmaes : A Simple yet Practical Python Library for CMA-ES
arXiv.orgThe covariance matrix adaptation evolution strategy (CMA-ES) has been highly effective in black-box continuous optimization, as demonstrated by its success in both benchmark problems and various real-world applications.
Masahiro Nomura, Masashi Shibata
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Journal of Computational Design and Engineering
Temperature uniformity in Li-ion battery thermal management systems (BTMS) is crucial for achieving thermal safety and optimal performance in electric vehicles.
Seokjun Park +4 more
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Temperature uniformity in Li-ion battery thermal management systems (BTMS) is crucial for achieving thermal safety and optimal performance in electric vehicles.
Seokjun Park +4 more
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IEEE International Symposium on Biomedical Imaging
The covariance matrix adaptive evolution strategy (CMA-ES) has been widely used in the field of 2D/3D registration in recent years. This optimization method exhibits exceptional robustness and usability for complex surgical scenarios. However, due to the
Minheng Chen, Zhirun Zhang
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The covariance matrix adaptive evolution strategy (CMA-ES) has been widely used in the field of 2D/3D registration in recent years. This optimization method exhibits exceptional robustness and usability for complex surgical scenarios. However, due to the
Minheng Chen, Zhirun Zhang
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Bandwidth Enhancement of A Planar Monopole Antenna Using CMA-ES Optimizer for B5G/6G Applications
Asia-Pacific Conference on Communications, 2023This paper presents the use of the covariance matrix adaptation evolution strategy (CMA-ES) optimizer in helping bandwidth enhancement on a planar monopole antenna.
A. D. Prasetyo +3 more
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Swarm and Evolutionary Computation, 2019
Abstract Covariance Matrix Adaptation Evolution Strategy (CMA-ES) has shown great performance on nonseparable optimization problems largely due to its rotation-invariant feature. However, as the computational cost of the self-adaption operation is sensitive to the scale of problems, the performance of CMA-ES heavily suffers from the well-known curse ...
Xin Tong, Bo Yuan, Bin Li
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Abstract Covariance Matrix Adaptation Evolution Strategy (CMA-ES) has shown great performance on nonseparable optimization problems largely due to its rotation-invariant feature. However, as the computational cost of the self-adaption operation is sensitive to the scale of problems, the performance of CMA-ES heavily suffers from the well-known curse ...
Xin Tong, Bo Yuan, Bin Li
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Optical phase-sensing for coherent beam combining via CMA-ES algorithm
Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES), 2023In this paper, a CMA-ES algorithm-based phase-sensing method is proposed and investigated. Thanks to the probability-based operational property of optimization conducted by the covariance matrix, the proposed method can yield excellent phase-sensing ...
M. Yeo +3 more
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Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
arXiv.orgRecent research in Cooperative Coevolution~(CC) have achieved promising progress in solving large-scale global optimization problems. However, existing CC paradigms have a primary limitation in that they require deep expertise for selecting or designing ...
Hongshu Guo +5 more
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IEEE Transactions on Geoscience and Remote Sensing, 2022
In this article, a hierarchical stochastic optimization algorithm for profiling of multiple high-contrast buried objects in large investigation domains (IDs) is presented.
M. Hajebi, A. Hoorfar
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In this article, a hierarchical stochastic optimization algorithm for profiling of multiple high-contrast buried objects in large investigation domains (IDs) is presented.
M. Hajebi, A. Hoorfar
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IEEE/ASME transactions on mechatronics
Magnetic field-driven microrobots have shown high potential in the field of medical applications. The utilization of magnetic fields is particularly favorable due to its ability to penetrate deep tissues while ensuring high safety.
Yueyue Liu +4 more
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Magnetic field-driven microrobots have shown high potential in the field of medical applications. The utilization of magnetic fields is particularly favorable due to its ability to penetrate deep tissues while ensuring high safety.
Yueyue Liu +4 more
semanticscholar +1 more source