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Array Antenna Pattern Synthesis Based on Selective Levy Flight Culture wolf pack algorithm

Journal of Harbin Institute of Technology(New Series) 2020年第5期27卷 68-80页

作者： Ting Wang Hailin Tang Yuebao Yu Bin Zheng Huijuan Liu School of Electronic Information Engineering Hebei University of TechnologyTianjin 300401China People’s Liberation Army Air Force 93756 Tianjin 300000China Department of Film and Television Technology Tianjin Broadcasting TV and Film InstituteTianjin 300112China

Due to the shortcomings such as the premature convergence and the bad local optimal searching capability in traditional intelligence methods for pattern synthesis,a new type of wolf pack algorithm named Levy⁃Cultural wolf pack algorithm(LCWPA)was designed on the basis of the Cultural wolf pack algorithm(CWPA),which obeys the selective Levy *** of the good overall management ability provided by the cultural algorithm in optimization process and the characteristics of excellent population diversity brought by Levy flight,the search efficiency of the new algorithm was greatly *** the algorithm was applied in the pattern synthesis of array antenna,the simulation results showed its high performance with multi⁃null and low side⁃lobe *** addition,the algorithm was superior to the Quantum Particle Swarm Optimization(QPSO),Particle Swarm Optimization(PSO),and Genetic algorithm(GA)in optimization accuracy and operation speed,and is of very good generalization.

关键词： array antenna pattern synthesis Levy flight wolf pack algorithm

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The Path Planning Of Mobile Sink Based On wolf pack algorithm

The Path Planning Of Mobile Sink Based On Wolf Pack Algorith...

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作者： Jiang Yi Zhang Lu Lu Jinhu Lanzhou Jiaotong University

Mobile sinks avoids imbalances in energy consumption caused by multihop transmission in wireless sensor networks（WSNs）.In order to shorten the length of the travel path and further reduce the energy consumption of the network transmission,the mobile sinks travel path was *** the visiting point of each overlapping area,and use the wolf pack algorithm（WPA） to plan a traveling *** the visiting point is a point within the overlapping area of communication ranges of sensors not one by one access to each node,it effectively reduces the length of the *** method not only shortens the length of the traveling path for the mobile sink but reduces the computational effort required for traveling-path planning by the TSP algorithm as *** computer simulation proved that the routing protocol can reduce and balance the energy consumption efficiently,prolonging the wireless sensor network survival period and improve the link quality.

关键词： Wireless Sensor Networks wolf pack algorithm Contribution Distribution Energy Consumption

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Robust Voltage Control Considering Uncertainties of Renewable Energies and Loads via Improved Generative Adversarial Network

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Journal of Modern Power Systems and Clean Energy 2020年第6期8卷 1104-1114页

作者： Qianyu Zhao Wenlong Liao Shouxiang Wang Jayakrishnan Radhakrishna Pillai the Key Laboratory of Smart Grid of Ministry of Education and Tianjin Key Laboratory of Power System Simulation and Control Tianjin UniversityTianjinChina the Department of Energy Technology Aalborg UniversityAalborgDenmark

The fluctuation of output power of renewable energies and loads brings challenges to the scheduling and operation of the distribution *** this paper,a robust voltage control model is proposed to cope with the uncertainties of renewable energies and loads based on an improved generative adversarial network(IGAN).Firstly,both real and predicted data are used to train the IGAN consisting of a discriminator and a *** noises sampled from the Gaussian distribution are fed to the generator to generate a large number of scenarios that are utilized for robust voltage control after scenario ***,a new improved wolf pack algorithm(IWPA)is presented to solve the formulated robust voltage control model,since the accuracy of the solutions obtained by traditional methods is *** simulation results show that the IGAN can accurately capture the probability distribution characteristics and dynamic nonlinear characteristics of renewable energies and loads,which makes the scenarios generated by IGAN more suitable for robust voltage control than those generated by traditional ***,IWPA has a better performance than traditional methods in terms of convergence speed,accuracy,and stability for robust voltage control.

关键词： Robust voltage control uncertainty generative adversarial network wolf pack algorithm

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