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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Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy [PDF]
Proceedings of the 14th annual conference on Genetic and evolutionary computation, 2012 This paper presents a novel mechanism to adapt surrogate-assisted population-based algorithms. This mechanism is applied to ACM-ES, a recently proposed surrogate-assisted variant of CMA-ES. The resulting algorithm, saACM-ES, adjusts online the lifelength
Loshchilov, Ilya +2 more
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Covariance matrix adaptation evolution strategy based optical phase control [PDF]
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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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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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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CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for multi-objective optimisation [PDF]
Integrated Computer-Aided Engineering, 2012 The quality of Evolutionary Multi-Objective Optimisation (EMO) approximation sets can be measured by their proximity, diversity and pertinence. In this paper we introduce a modular and extensible Multi-Objective Evolutionary Algorithm (MOEA) capable of ...
Rostami, Shahin, Shenfield, A.
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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.
Akimoto, Youhei, Hansen, Nikolaus
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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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Optimization of a Photonic Crystal Nanocavity Using Covariance Matrix Adaptation Evolution Strategy
IEEE Photonics Journal, 2022 H0-type photonic crystal nanocavities hold high quality factors Q and quite small cavity mode volumes. This study finds their ultrahigh Q structures, which allow stable operation as a nanolaser even with fabrication-induced disordering.
Kohei Takahashi, Toshihiko Baba
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