Results 231 to 240 of about 184,624 (268)

Adaptive parameter selection for strategy adaptation in differential evolution

Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, 2011
In order to automatically select the most suitable strategy for a specific problem without any prior knowledge, in this paper, we present an adaptive parameter selection technique for strategy adaptation in differential evolution (DE). First, a simple strategy adaptation mechanism is employed to implement the adaptive strategy selection in DE.
Wenyin Gong, Zhihua Cai
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Monomodal registration with adaptive parameter computing

International Journal of Computer Applications in Technology, 2011
Most implementations for image registration are produced by defining a similarity measure between two given images, then minimising an energy functional that combines both similarity and regularity measures. The registration result greatly relies on the weight parameter, which usually is given in advance, big or small parameter may produce the ...
Murong Jiang, Yongyan Lin, Xiaojie Guo, Junfang Kang   +3 more
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On-line adaptive parameter estimator tuning

Computers & Chemical Engineering, 2004
Abstract This paper discusses a systematic technique for tuning a parameter estimator. The estimator used in this work is a discrete version of a projection algorithm estimator. Although the development is explained for linear models, the method is equally applicable to any type of linear or non-linear model that is linear with respect to the ...
Michael Shagalov, Hector M. Budman
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Parameter-Efficient Adaptation for Computational Imaging

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Deep learning-based methods provide remarkable performance in a number of computational imaging problems. Examples include end-to-end trained networks that map measurements to unknown signals, plug-and-play (PnP) methods that use pretrained denoisers as image prior, and model-based unrolled networks that train artifact removal blocks.
Nebiyou Yismaw, Ulugbek S. Kamilov, M. Salman Asif   +2 more
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Astronomical adaptive optics in parameter space

Optics Letters, 2000
We present a general, undiscretized formulation of astronomical adaptive optics that encompasses arbitrary guide star sources and deformable mirror configurations. It is shown that wave-front measurements can be represented as samples of an integral transform of the turbulence perturbation and also that the desired information for adaptive correction ...
J C, Quartel, J B, Clifford, J C, Dainty
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Parameter Adaptation Algorithms

2016
Parameter adaptation algorithms are the key step for estimating the parameters of the discrete time dynamic model of the system to be controlled and for building an adaptive active vibration control system. A coverage of the subject is provided from the perspective of the user. Stability and convergence issues are addressed.
Ioan Doré Landau, Tudor-Bogdan Airimitoaie, Abraham Castellanos-Silva, Aurelian Constantinescu   +3 more
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Fuzzy FWA with dynamic adaptation of parameters

2016 IEEE Congress on Evolutionary Computation (CEC), 2016
We propose in this paper the use fuzzy logic to adjust parameters in the fireworks algorithm (FWA), that is, parameters that usually are considered as constants in the algorithm, we have transformed them to be dynamic parameters in the FWA. First, we realized an exhaustive experimentation of the parameters of the FWA algorithm, with the purpose of ...
Juan Barraza, Patricia Melin, Fevrier Valdez, Claudia I. González   +3 more
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Utility-Based Adaptation of RED Parameters

2006
Random Early Detection (RED) is effective in decreasing losses on responsive flows but performs poorly with User Datagram Protocol (UDP) traffic since these do not react to congestion notification. However, it is important to address UDP flows' requirements since UDP traffic forms a considerable part of Internet traffic.
Rachel P. Villacorta, Cedric Angelo M. Festin   +1 more
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Parameter-adaptive Controllers

1981
This chapter treats parameter-adaptive controllers which are based on suitable parameter estimation methods, controller design methods and control algorithms, c.f. chapter 23. The relevant parameter estimation methods were discussed in chapter 24 and 25.
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Adaptive Choice of Behavior and Protocol Parameters

2012
Research on interaction between multiple self-interested agents has focused on either designing rational behavior for agents given the interaction protocol or designing the interaction protocol that will promote desirable rational behavior by agents.
Frank Grove, Sandip Sen, Oly Mistry
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