Results 21 to 30 of about 184,624 (268)
Journal of Intelligent Systems, 2023 This study based on the standard differential evolution (DE) algorithm was carried out to address the issues of control parameter imprinting, mutation process, and crossover process in the standard DE algorithm as well as the issue of multidimensional ...
Wu Wenchang
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Моделирование и анализ информационных систем, 2020 Self-adjustment of parameters can significantly improve the performance of evolutionary algorithms. A notable example is the (1 + (λ,λ)) genetic algorithm, where adaptation of the population size helps to achieve the linear running time on the OneMax ...
Anton Olegovich Bassin +2 more
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Crossover Rate Sorting in Adaptive Differential Evolution
Algorithms, 2023 Differential evolution (DE) is a popular and efficient heuristic numerical optimization algorithm that has found many applications in various fields. One of the main disadvantages of DE is its sensitivity to parameter values.
Vladimir Stanovov +2 more
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Surrogate-Assisted Automatic Parameter Adaptation Design for Differential Evolution
Mathematics, 2023 In this study, parameter adaptation methods for differential evolution are automatically designed using a surrogate approach. In particular, Taylor series are applied to model the searched dependence between the algorithm’s parameters and values ...
Vladimir Stanovov, Eugene Semenkin
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Neuroevolution for Parameter Adaptation in Differential Evolution
Algorithms, 2022 Parameter adaptation is one of the key research fields in the area of evolutionary computation. In this study, the application of neuroevolution of augmented topologies to design efficient parameter adaptation techniques for differential evolution is ...
Vladimir Stanovov +2 more
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The Automatic Design of Multimode Resonator Topology with Evolutionary Algorithms
Sensors, 2022 Microwave electromagnetic devices have been used for many applications in tropospheric communication, navigation, radar systems, and measurement. The development of the signal preprocessing units including frequency-selective devices (bandpass filters ...
Vladimir V. Stanovov +3 more
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Energy-Efficient Optimization Method of Urban Rail Train Based on Following Consistency
Energies, 2023 Because of the short distance between stations in urban rail transit, frequent braking of urban rail trains during operation will generate a large amount of regenerative braking energy.
Ruxun Xu +3 more
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IEEE Access, 2019 Feedforward neural network (FNN) is one of the most widely used and fastest-developed artificial neural networks. Much evolutionary computation (EC) methods have been used to optimize the weights of FNN.
Yu Xue, Tao Tang, Alex X. Liu
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Online Adaptive Parameter Estimation for Quadrotors [PDF]
Algorithms, 2018 The stability and robustness of quadrotors are always influenced by unknown or immeasurable system parameters. This paper proposes a novel adaptive parameter estimation technology to obtain high-accuracy parameter estimation for quadrotors. A typical mathematical model of quadrotors is first obtained, which can be used for parameter estimation.
Jun Zhao 0015 +5 more
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Memory-based Parameter Adaptation
CoRR, 2018 Deep neural networks have excelled on a wide range of problems, from vision to language and game playing. Neural networks very gradually incorporate information into weights as they process data, requiring very low learning rates. If the training distribution shifts, the network is slow to adapt, and when it does adapt, it typically performs badly on ...
Pablo Sprechmann +9 more
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