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2006年国际电子、工程及科学领域的分布式计算和应用学术研讨会

作者： Yiqian Tang Chengdu University,Chengdu,610106,China Chunli Feng Liaoning Institute of Technology,Jinzhou,121001,China Yue Zhao,Lin Shi Chengdu University,Chengdu,610106,China

Aiming at the techniques of the image compression,we put forward a kind of improved local learning adaptive Silva-Almeida(sa) algorithm on the basis of BP neural *** training process of the new algorithm was divided into the acceleration and steady convergence periods, and we adjusted the learning rate and the momentum factor locally at the same *** the experiment of the curve fitting,the improved sa algorithm quickened the training speed,raised precision distinctly,and resisted the oscillation in a large *** the test of the image compression, compared with the resilient propagation(RPROP) method, the new algorithm’s training speed and the quality of the reconstruction images were enhanced very greatly,and we acquired a higher ratio of image *** the improved sa algorithm is more effective to the image compression.

关键词： sa algorithm image compression BP networks resilient propagation neural networks

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A Hybrid Dung Beetle Optimization algorithm with Simulated Annealing for the Numerical Modeling of Asymmetric Wave Equations

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Applied Geophysics 2024年第3期21卷 513-527,618页

作者： Wei Xu-ruo Bai Wen-lei Liu Lu Li You-ming Wang Zhi-yang College of Information Science and Technology Beijing University of Chemical TechnologyBeijingPRC Key Laboratory of Petroleum Resources Research Institute of Geology and GeophysicsChinese Academy of SciencesBeijingPRC University of Chinese Academy of Sciences BeijingChina Aramco Research Center-Beijing Aramco AsiaBeijingChina

In the generalized continuum mechanics(GCM)theory framework,asymmetric wave equations encompass the characteristic scale parameters of the medium,accounting for microstructure *** study integrates two theoretical branches of the GCM,the modified couple stress theory(M-CST)and the one-parameter second-strain-gradient theory,to form a novel asymmetric wave equation in a unified *** modeling of the asymmetric wave equation in a unified framework accurately describes subsurface structures with vital implications for subsequent seismic wave inversion and imaging ***,employing finite-difference(FD)methods for numerical modeling may introduce numerical dispersion,adversely affecting the accuracy of numerical *** design of an optimal FD operator is crucial for enhancing the accuracy of numerical modeling and emphasizing the scale ***,this study devises a hybrid scheme called the dung beetle optimization(DBO)algorithm with a simulated annealing(sa)algorithm,denoted as the sa-based hybrid DBO(SDBO)*** FD operator optimization method under the SDBO algorithm was developed and applied to the numerical modeling of asymmetric wave equations in a unified *** the DBO and sa algorithms mitigates the risk of convergence to a local *** numerical dispersion outcomes underscore that the proposed SDBO algorithm yields FD operators with precision errors constrained to 0.5‱while encompassing a broader spectrum *** result confirms the efficacy of the SDBO ***,the numerical modeling results demonstrate that the new FD method based on the SDBO algorithm effectively suppresses numerical dispersion and enhances the accuracy of elastic wave numerical modeling,thereby accentuating scale *** result is significant for extracting wavefield perturbations induced by complex microstructures in the medium and the analysis of scale effects.

关键词： Finite-difference Asymmetric wave equation Numerical modeling DBO algorithm sa algorithm

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维普期刊数据库

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Investigation of energy-efficient heat pump assisted heterogeneous azeotropic distillation for separating of acetonitrile/ethyl acetate/n-hexane mixture

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Chinese Journal of Chemical Engineering 2023年第3期55卷 20-33页

作者： Xinhao Li Qing Ye Jinlong Li Lingqiang Yan Xue Jian Licheng Xie Jianyu Zhang Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology School of Petrochemical EngineeringChangzhou UniversityChangzhou 213164China Changzhou University Huaide College Changzhou 213164China College of Chemical and Biological Engineering Zhejiang UniversityHangzhou 310000China

The conventional distillation is hard to accomplish the separation of acetonitrile/ethyl acetate/n-hexane mixture. Herein, a heterogeneous azeotropic distillation(HAD) without adding entrainer is proposed to separate ternary mixture. The proposed scheme is optimized via the simulated annealing algorithm and minimum total annual cost(TAC) is used as objective functions. To minimize energy consumption,heat pump is added on the basis of optimal heterogeneous azeotropic distillation and heat integration technology is used to further improve the energy recovery. The TAC, gas emission, energy consumption and exergy destruction are used to discuss the economy and environmental protection of *** all the processes, the heat pump with higher preheating temperature(HPT) assisted HAD process by combining with heat integration(HAD-HPT-HI) has best performances on economic, environment,energy and exergy. Compared with conventional HAD process, the HAD-HPT-HI achieves the reductions of 52.17%, 68.86%, 65.87% and 65.46% on TAC, total energy consumption, gas emissions and exergy destruction, respectively.

关键词： Heterogeneous azeotropic distillation Energy-saving sa algorithm Heat pump

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维普期刊数据库

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Obtain the optimal of logistics delivery network with annealing algorithm

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Engineering Sciences 2013年第6期11卷 44-47页

作者： Duan Jingmin Chang Yuejun Li Zanxiang Cui Jianming Department of Architectural Engineering Sanmenxia Polytechnic Department of Bridge Engineering Southwest Jiaotong University Henan Construction Engineering Department Building School of Information Engineering Chang'an University

Simulated annealing(sa) algorithm is a heuristic algorithm,proposed one approximation algorithm of solving optimization combinatorial problems inspired by objects in the annealing process of heating crunch. The algorithm is superior to the traditional greedy algorithm,which avoids falling into local optimum and reaches global optimum. There are often some problems to find the shortest path,etc in the logistics and distribution network, and we need optimization for logistics and distribution path in order to achieve the shortest,best,most economical,and so on. The paper uses an example of sa algorithm validation to verify it,and the method is proved to be feasible.

关键词： sa algorithm global optimum logistics and distribution network

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UAV path planning based on K-means algorithm and simulated annealing algorithm

UAV path planning based on K-means algorithm and simulated a...

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第37届中国控制会议

作者： Xiu Yue Wei Zhang Shanghai Key Lab of Modern Optical System and Engineering Research Center of Optical Instrument and System Ministry of EducationUniversity of Shanghai for Science and Technology

This paper proposed a new method for unmanned aerial vehicle（UAV） path planning based on K-means algorithm and simulated annealing（sa） algorithm, which solves the problem for multi-UAVs with multi-mission under complicated constraints. Firstly, the model is established for the no-fly zone, the target zone and the valid zone for cruise within it in the mission area. Then, the decomposition technique decomposes the valid area into multiple sub-target points reasonably. Secondly, the K-means algorithm is used to cluster the target points of UAV cruise, which solves the problem for UAV cruise range and scheduling issues. Combining the sa algorithm for the similar sub-target route planning, this technique increases the coverage of the UAVs in the sub-target area of cruise valid area. Finally, taking the real data of UAVs in earthquake relief as an example, the effectiveness and robustness of the proposed method is validated by simulation experiments.

关键词： UAV model area decomposition technique K-means algorithm sa algorithm

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