Results 1 to 10 of about 764,690 (178)
Adaptive Internal Model Control of SCR Denitration System Based on Multi-Objective Optimization
IEEE Access, 2022 Many thermal power plants use selective catalytic reduction (SCR) systems to complete flue gas denitration. The system has the characteristics of large inertia, large delay and nonlinearity. At the same time, it is difficult to use the controller under a
Bo Hu +5 more
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Differential Evolution with Level-Based Learning Mechanism
Complex System Modeling and Simulation, 2022 To address complex single objective global optimization problems, a new Level-Based Learning Differential Evolution (LBLDE) is developed in this study. In this approach, the whole population is sorted from the best to the worst at the beginning of each ...
Kangjia Qiao +5 more
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QUATRE-PM: QUasi-Affine TRansformation Evolution With Perturbation Mechanism
IEEE Access, 2023 Differential Evolution(DE) is a widely used technique to tackle complex optimization problems owing to its easy-implementation and excellent performance, nevertheless, the inborn weakness of the crossover operation has not been solved even in the recent ...
Junyuan Zhang, Zhenyu Meng
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Gong-kuang zidonghua, 2022 In coal mine, the dust concentration is high and the illumination is low. The image acquisition quality and characteristic extraction effect are greatly affected by dust concentration. However, the camera parameters and image processing parameters cannot
ZHANG Xuhui +4 more
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Adaptive Range Parameter Control [PDF]
2012 IEEE Congress on Evolutionary Computation, 2012 All existing stochastic optimisers such as Evolutionary Algorithms require parameterisation which has a significant influence on the algorithm's performance. In most cases, practitioners assign static values to variables after an initial tuning phase.
Aleti, A., Moser, I., Mostaghim, S.
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A New Approach for Dynamic Stochastic Fractal Search with Fuzzy Logic for Parameter Adaptation
Fractal and Fractional, 2021 Stochastic fractal search (SFS) is a novel method inspired by the process of stochastic growth in nature and the use of the fractal mathematical concept. Considering the chaotic stochastic diffusion property, an improved dynamic stochastic fractal search
Marylu L. Lagunes +4 more
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Dual-Population Adaptive Differential Evolution Algorithm L-NTADE
Mathematics, 2022 This study proposes a dual-population algorithmic scheme for differential evolution and specific mutation strategy. The first population contains the newest individuals, and is continuously updated, whereas the other keeps the top individuals throughout ...
Vladimir Stanovov +2 more
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Adaptive Dimensional Learning with a Tolerance Framework for the Differential Evolution Algorithm
Complex System Modeling and Simulation, 2022 The Differential Evolution (DE) algorithm, which is an efficient optimization algorithm, has been used to solve various optimization problems. In this paper, adaptive dimensional learning with a tolerance framework for DE is proposed.
Wei Li +3 more
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Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter Estimation [PDF]
, 2018 Estimating the parameter of a Bernoulli process arises in many applications, including photon-efficient active imaging where each illumination period is regarded as a single Bernoulli trial.
Castañón, David +3 more
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Thrust distribution of marine power system based on improved SHADE algorithm
Zhongguo Jianchuan Yanjiu, 2020 [Objectives] To solve the issue of thrust loss caused by the interaction between the ship thrusters and the excessive power fluctuation in the power system, an improved A success-history adaptive differential evolution(SHADE)algorithm is proposed ...
ZHU Yuwen, XIAO Jianmei, WANG Xihuai
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