Results 11 to 20 of about 114,557 (285)
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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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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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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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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An improved hyperparameter optimization framework for AutoML systems using evolutionary algorithms
Scientific Reports, 2023 For any machine learning model, finding the optimal hyperparameter setting has a direct and significant impact on the model’s performance. In this paper, we discuss different types of hyperparameter optimization techniques.
Amala Mary Vincent, P. Jidesh
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CMA-PSO Algorithm for Fuzzy Cloud Resource Scheduling
Journal of Harbin University of Science and Technology, 2022 Aiming at the multiobjective cloud resource scheduling problem, with the goal of optimizing the total completion time and total execution cost of the task, a fuzzy cloud resource scheduling model is established using the method of fuzzy mathematics ...
LI Cheng-yan, SONG Yue, MA Jin-tao
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An adaptive ES with a ranking based constraint handling strategy [PDF]
Yugoslav Journal of Operations Research, 2014 To solve a constrained optimization problem, equality constraints can be used to eliminate a problem variable. If it is not feasible, the relations imposed implicitly by the constraints can still be exploited.
Kusakci Ali Osman, Can Mehmet
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Matrix Adaptation Evolution Strategy with Multi-Objective Optimization for Multimodal Optimization
Algorithms, 2019 The standard covariance matrix adaptation evolution strategy (CMA-ES) is highly effective at locating a single global optimum. However, it shows unsatisfactory performance for solving multimodal optimization problems (MMOPs).
Wei Li
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IEEE Access, 2023 Uncertainties caused by material variation can significantly impair the characteristics of devices. Therefore, it is important to design devices whose performance is not significantly damaged even when material variations occur. Robust optimization seeks
Akito Maruo, Hajime Igarashi
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