A hybrid optimal algorithm, named the SAA-PA in brief, based on the simulated annealing algorithm （SAA） and the powell algorithm （PA） is proposed. The proposed algorithm puts the random search strategy of the SAA ...
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A hybrid optimal algorithm, named the SAA-PA in brief, based on the simulated annealing algorithm （SAA） and the powell algorithm （PA） is proposed. The proposed algorithm puts the random search strategy of the SAA into the PA, which can prevent optimizing courses from trapping in local optima. The SAA-PA can effectively solve multimodal optimization in the distributed multi-pump Raman amplifier （DMRA）. Optimal results show that, under the conditions of the on-off gain of 10 dB, the gain bandwidth of larger than 80 nm and the fiber length of 80 km, the gain ripple of less than 1.25 dB can be designed from the DMRA with only four backward pumps after the optimization of the proposed SAA-PA. Compared with the pure SAA, the SAA-PA can attain a lower gain ripple with the same number of pumps. Also, the relationship between the optimal signal bandwidth and the number of pumps can be simulated numerically with the SAA-PA.
The goal of source localization in the brain is to estimate a set of parameters for representing source characteristics;one of such parameters is the source number. We here propose a method combining the powell algori...
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The goal of source localization in the brain is to estimate a set of parameters for representing source characteristics;one of such parameters is the source number. We here propose a method combining the powell algorithm with the information criterion method for determining the optimal dipole number. The potential errors can be calculated by the powell algorithm with the concentric 4-sphere head model and 32 electrodes, then the number of dipoles is determined by the information criterion method with the potential errors mentioned above. This method has the advantages of a high identification accuracy of dipole number and a small number of EEG data because in this method: (1) only one EEG topography is used in the computation, (2) 32 electrodes are used to obtain the EEG data, (3) the optimal dipole number can be obtained by this method. In order to prove our method to be efficient, precise and robust to noise, 10% white noise is introduced to test this method theoretically. Some investigations are presented here to show our method is an advanced approach for determining the optimal dipole number.
In view of the wide use of the “Gaussian distribution hypothesis of noise” in geophysical inversion problems, we study the non-Gaussian distribution characteristics of the noise in pre-stack seismic data. Upon this ...
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In view of the wide use of the “Gaussian distribution hypothesis of noise” in geophysical inversion problems, we study the non-Gaussian distribution characteristics of the noise in pre-stack seismic data. Upon this analysis, the concept of non-Gaussian inversion of pre-stack three-term inversion is put forward, in which the mixed-norm is proposed for suppressing both the Gaussian and non-Gaussian noises. In view of the non-derivable feature of the objective function, the powell algorithm is used to solve the objective function. Model test and real seismic data inversion results show the correctness and reliability of the algorithm.
Multimodality medical image registration gives insight to anatomical and functional information, which assist diagnosis and therapy planning in medicine. Registration and consecutive visualization all
Multimodality medical image registration gives insight to anatomical and functional information, which assist diagnosis and therapy planning in medicine. Registration and consecutive visualization all
Device model and its parameters extraction are one of the most important parts of the electronic design automation(EDA) eras. The increasing complexity of silicon on insulator(SOI) MOS device compact model poses a gre...
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Device model and its parameters extraction are one of the most important parts of the electronic design automation(EDA) eras. The increasing complexity of silicon on insulator(SOI) MOS device compact model poses a great challenge to extract model parameters because SOIMOS device is restricted by the SOI material and the complex physical mechanisms. Currently, the model parameters extraction is performed mainly through commercial software. The application of commercial software is confined because they are usually very expensive and their mechanism is too complex. An adaptive parallel hybrid genetic algorithm combining with powell algorithm is designed and implemented from SOI MOS devices characteristics consideration. The novel method can extract device DC parameters in only one time efficiently. It is convenient to apply the simple method to other complex parameter extraction fields.
An improved image registration method is proposed based on mutual infor- mation with hybrid optimizer. Firstly, mutual information measure is combined with morphological gradient information. The essence of the gradie...
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An improved image registration method is proposed based on mutual infor- mation with hybrid optimizer. Firstly, mutual information measure is combined with morphological gradient information. The essence of the gradient information is that locations a large gradient magnitude should be aligned, but also the orientation of the gradients at those locations should be similar. Secondly, a hybrid optimizer combined PSO with powell algorithm is proposed to restrain local maxima of mutual information function and improve the registration accuracy to sub-pixel level. Lastly, muhlresolution data structure based on Mallat decomposition can not only improve the behavior of registration function, but also improve the speed of the algorithm. Experimental results demonstrate that the new method can yield good registration result, superior to traditional optimizer with respect to smoothness and attraction basin as well as convergence speed.
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