Results 291 to 300 of about 2,841,488 (326)
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Learning Step-Size Adaptation in CMA-ES
2020An algorithm’s parameter setting often affects its ability to solve a given problem, e.g., population-size, mutation-rate or crossover-rate of an evolutionary algorithm. Furthermore, some parameters have to be adjusted dynamically, such as lowering the mutation-strength over time.
Gresa Shala +5 more
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CMA-ES with exponential based multiplicative covariance matrix adaptation for global optimization
Swarm and Evolutionary Computation, 2023Bishal Karmakar +3 more
semanticscholar +1 more source
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, 2012
Anne Auger, Nikolaus Hansen
openaire +1 more source
Anne Auger, Nikolaus Hansen
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Aberration analysis using the CMA-ES Algorithm
Frontiers in Optics + Laser Science 2024 (FiO, LS)We investigate the CMA-ES algorithm as a novel derivative-free optimization tool for aberration analysis, which shows excellent performance with an RMS error of 0.07% even under the 10-dB SNR condition.
Hyukjin Yang +4 more
openaire +1 more source
Carbon management accounting (CMA) practices in Australia’s high carbon-emission industries
Sustainability Accounting, Management and Policy Journal, 2022Soheil Kazemian +1 more
exaly
Continuous Optimization and CMA-ES
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015Youhei Akimoto +2 more
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Optimization of Properties for Alumina-Spinel Refractory Castables by CMA (CaO-MgO-Al2O3) Aggregates
Materials, 2021Jianying Gao, Wenjie Yuan
exaly
Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective Dimensionality
GECCO CompanionHaruhito Nakagawa +3 more
semanticscholar +1 more source
Rank-based Linear-Quadratic Surrogate Assisted CMA-ES
GECCO CompanionMohamed Gharafi +3 more
semanticscholar +1 more source
Handling bound constraints in CMA-ES: An experimental study
Swarm and Evolutionary Computation, 2020Rafał Biedrzycki
exaly

