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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Application of Covariance Matrix Adaptation-Evolution Strategy to Optimal Portfolio [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2019 Capital portfolio management is considered an important issue in the field of economics and its main subject is about the scientific management of combination choice of assets that meet the specific investment objectives.
S. Amir Ghoreishi, Hamid Khaloozadeh
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A fault diagnosis method for complex systems based on hierarchical belief rule base with One-vs-Rest strategy [PDF]
Scientific ReportsComplex systems often experience various faults during operation. These faults can seriously affect system stability. Therefore, building an accurate and efficient fault diagnosis model is highly important.
Jiaqi Wu +4 more
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A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints [PDF]
IEEE Transactions on Evolutionary Computation, 2019 This paper addresses the development of a covariance matrix self-adaptation evolution strategy (CMSA-ES) for solving optimization problems with linear constraints. The proposed algorithm is referred to as Linear Constraint CMSA-ES (lcCMSA-ES). It uses a specially built mutation operator together with repair by projection to satisfy the constraints. The
Michael Hellwig +2 more
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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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Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies [PDF]
Evolutionary Computation, 2020 We introduce an acceleration for covariance matrix adaptation evolution strategies (CMA-ES) by means of adaptive diagonal decoding (dd-CMA). This diagonal acceleration endows the default CMA-ES with the advantages of separable CMA-ES without inheriting its drawbacks.
Youhei Akimoto, Nikolaus Hansen
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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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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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