Adaptive Exploration through Covariance Matrix Adaptation Enables Developmental Motor Learning
Paladyn, 2012 The “Policy Improvement with Path Integrals” (PI2) [25] and “Covariance Matrix Adaptation - Evolutionary Strategy” [8] are considered to be state-of-the-art in direct reinforcement learning and stochastic optimization respectively. We have recently shown
Stulp Freek, Oudeyer Pierre-Yves
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Individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy [PDF]
Scientific Reports, 2022 Among population-based metaheuristics, both Differential Evolution (DE) and Covariance Matrix Adaptation Evolution Strategy (CMA-ES) perform outstanding for real parameter single objective optimization.
Zhe Chen, Yuanxing Liu
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Enhancing Graph Routing Algorithm of Industrial Wireless Sensor Networks Using the Covariance-Matrix Adaptation Evolution Strategy [PDF]
Sensors, 2022 The emergence of the Industrial Internet of Things (IIoT) has accelerated the adoption of Industrial Wireless Sensor Networks (IWSNs) for numerous applications.
Nouf Alharbi +2 more
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Mathematics, 2022 Precise streamflow estimation plays a key role in optimal water resource use, reservoirs operations, and designing and planning future hydropower projects.
Rana Muhammad Adnan Ikram +4 more
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Parameter Optimization Using Covariance Matrix Adaptation—Evolutionary Strategy (CMA-ES), an Approach to Investigate Differences in Channel Properties Between Neuron Subtypes [PDF]
Frontiers in Neuroinformatics, 2018 Computational models in neuroscience can be used to predict causal relationships between biological mechanisms in neurons and networks, such as the effect of blocking an ion channel or synaptic connection on neuron activity.
Zbigniew Jȩdrzejewski-Szmek +5 more
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Covariance Matrix Adaptation MAP-Annealing
Proceedings of the Genetic and Evolutionary Computation Conference, 2023 Accepted to GECCO ...
Matthew C. Fontaine, Stefanos Nikolaidis
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Covariance matrix adaptation evolution strategy for robust load frequency control of hydro power systems [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 Modern power systems are very complex and critical to electrical engineering services. The interconnections between various areas, nonlinear dynamics, and huge inertia of the components, make the problem very complex.
Nitish Katal, Sanjay Kumar, Sanjay Kumar
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A Modification of the PBIL Algorithm Inspired by the CMA-ES Algorithm in Discrete Knapsack Problem
Applied Sciences, 2021 The subject of this paper is the comparison of two algorithms belonging to the class of evolutionary algorithms. The first one is the well-known Population-Based Incremental Learning (PBIL) algorithm, while the second one, proposed by us, is a ...
Maria Konieczka +3 more
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Covariance matrix adaptation evolution strategy based optical phase control
Electronics Letters, 2021 In this letter, an investigation of the use of a covariance matrix adaptation evolution strategy (CMA‐ES) algorithm is conducted as the phase‐locking method for multi‐channel coherent beam combining (CBC) for the first time.
Hansol Kim, Yoonchan Jeong
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Ship Autonomous Berthing Simulation Based on Covariance Matrix Adaptation Evolution Strategy
Journal of Marine Science and Engineering, 2023 Existing research on auto-berthing of ships has mainly focused on the design and implementation of controllers for automatic berthing. For the real automatic docking processes, not only do external environmental perturbations need to be taken into ...
Guoquan Chen, Jian Yin, Shenhua Yang
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