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Using the Hybrid Simulated Annealing-M5 Tree algorithms to Extract the If-Then Operation Rules in a Single Reservoir

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WATER RESOURCES MANAGEMENT 2019年第10期33卷 3655-3672页

作者： Rouzegari, Nazak Hassanzadeh, Yousef sattari, Mohammad Taghi Univ Tabriz Fac Civil Engn Dept Water Engn Tabriz Iran Univ Tabriz Fac Civil Engn Ctr Excellence Hydroinformat Dept Water Engn Tabriz Iran Univ Tabriz Fac Agr Dept Water Engn Tabriz Iran Ankara Univ Fac Agr Dept Farm Struct & Irrigat Ankara Turkey

The environmental water demand of the Mahabad River in the Urmia Lake basin in Iran was first estimated, using the flow duration curve shifting method (FDC Shifting) in this study. Secondly, the optimal operating model of the reservoir was developed with the goals of decreasing the deficiencies and considering the downstream demands of the reservoir, especially the environmental water demands by employing the simulated annealing (sa) and non-linear programming (NLP) methods. The results of the sa algorithm were compared with those of the NLP model with the indices of reliability, resiliency velocity, vulnerability, and sustainability. Then, the optimum released water values in the current month, the optimum water storage values in the reservoir, reservoir inflows and monthly demands were considered as inputs of the M5 tree model, and the optimum values of released water in the next month were considered as outputs of the M5 model. Finally, the optimum operation rules from the reservoir were developed in the form of if-then linear rules for future uses. One of the main advantages of the M5 tree model is to present two operation rules as if-then rules for all the operating periods with relatively acceptable accuracy. The results showed that the sa-M5 tree model, as a method of data mining, can extract the operation rules with relatively high accuracy.

关键词： FDC shifting Mahabad reservoir M5 tree model sa algorithm Urmia Lake

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Design methods for ULA-based directional antenna arrays by shaping the Cramer-Rao bound functions

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IET SIGNAL PROCESSING 2018年第2期12卷 247-254页

作者： Chen, Minqiu Mao, Xingpeng Guo, Ran Cao, Ming-Yang Liu, Yongtan Harbin Inst Technol Sch Elect & Informat Engn Harbin Heilongjiang Peoples R China Collaborat Innovat Ctr Informat Sensing & Underst Harbin Heilongjiang Peoples R China Sci & Technol Elect Informat Control Lab Chengdu Sichuan Peoples R China

This study focuses on the design methods for uniform linear array (ULA) based directional antenna arrays by optimising the radiation characteristics of elements. To improve the performance of direction-of-arrival (DOA) estimation in a predetermined objective spatial sector which includes all the potential directions of incidence, Cramer-Rao bound based optimisation models are established by utilising the least squares fitting technique. Besides, a modified simulated annealing (sa) algorithm with the iteration of parameters is proposed, aiming to solve the optimisation problems when the classic sa is invalid. Compared with the corresponding conventional ULA, an optimised array can obtain higher accuracy of DOA estimation in the objective spatial sector with little fluctuation. Additionally, the optimised design of radiation characteristics can also suppress the ambiguities, and remains effective for the arrays with different aperture. Simulation results verify the effectiveness of the proposed methods and the superiority of the optimised arrays.

关键词： directive antennas linear antenna arrays antenna radiation patterns direction-of-arrival estimation optimisation least squares approximations simulated annealing design methods ULA-based directional antenna arrays Cramer-Rao bound functions uniform linear array radiation characteristics direction-of-arrival estimation DOA estimation optimisation models least squares fitting technique modified simulated annealing algorithm sa algorithm objective spatial sector

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UAV path planning based on K-means algorithm and simulated annealing algorithm 37

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

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37th Chinese Control Conference (CCC)

作者： Yue, Xiu Zhang, Wei Univ Shanghai Sci & Technol Minist Educ Shanghai Key Lab Modem Opt Syst Shanghai 200093 Peoples R China Univ Shanghai Sci & Technol Minist Educ Engn Res Ctr Opt Instrument & Syst Shanghai 200093 Peoples R China

ISBN: (纸本)9789881563958

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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Wireless positioning method based on dynamic objective function under mixed LOS/NLOS conditions 5

Wireless positioning method based on dynamic objective funct...

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5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS)

作者： Guo Qing Ke Wei Tang Wanchun Nanjing Normal Univ Sch Phys Sci & Technol Jiangsu Key Lab Optoelect Technol Nanjing 210023 Jiangsu Peoples R China Jiangsu Ctr Collaborat Innovat Geog Informat Reso Nanjing 210023 Jiangsu Peoples R China

ISBN: (纸本)9781538637555

The current wireless positioning technology faces with the influence of the mixed line of sight(LOS) and non-LOS(NLOS) environment. The measurement error will become larger under NLOS environment and then result in a significant reduction of accuracy and instability of positioning results. Therefore, the research of wireless location under the LOS/ NLOS environment has become research hotspots. In this paper, a dynamic positioning method based on the received signal strength(RSS) is proposed to solve this current hot issue. This method firstly adopts mixed Gauss model to describe the LOS and NLOS propagation effects, respectively, which can avoid the LOS/ NLOS identifying problem. At the same time, the simulated annealing (sa) algorithm is exploited to overcome the local optimal solution problem. Simulation results show that our method can achieve good positioning performance under mixed LOS/NLOS environment.

关键词： LOS NLOS mixed Gauss model sa algorithm

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Effective Design of Diffractive Optical Elements for Beam Splitting with sa algorithm

Effective Design of Diffractive Optical Elements for Beam Sp...

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Conference on Holography, Diffractive Optics, and Applications V

作者： Pang, Hui Yin, Shaoyun Deng, Qiling Fu, Yongqi Du, Chunlei Chinese Acad Sci Inst Opt & Elect Chengdu 610209 Sichuan Provinc Peoples R China Univ Elect Sci & Technol China Sch Optoelectron Informat Chengdu 610041 Sichuan Peoples R China Chongqing Inst Green & Intelligent Technol CAS Chongqing 401122 Peoples R China

ISBN: (纸本)9780819493118

In this paper, quite effective method for the design of phase-only and quantized diffractive optical element (DOE) for beam splitting with simulated annealing algorithm (sa) is presented. For this method employs the character that periodic DOE could generate periodic point array, design time and number of sampling point of DOE could be greatly reduced. Besides, the relation of the DOE parameters including the sampling size, number of sampling point and divergence angle are analyzed. The cause and elimination of the high diffraction orders is also investigated. Design result shows that our method is quite effective and can keep the higher diffraction efficiency and lower uniformity error compared to the Gerchberg-saxton algorithm (GS).

关键词： sa algorithm DOE beam splitter

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Optimization of shrinkage in Plastic injection molding process using statistical methods and sa algorithm

Optimization of shrinkage in Plastic injection molding proce...

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2nd International Conference on Mechanical and Aerospace Engineering (ICMAE 2011)

作者： Akbarzadeh, Alireza sadeghi, Mohammad Ferdowsi Univ Mashhad Dept Mech Engn Ctr Appl Res Soft Comp & Intelligent Syst CARSIS Mashhad Iran

ISBN: (纸本)9783037852620

Dimensional changes because of shrinkage is one of the most important problems in production of plastic part using injection molding. In this study, effect of injection molding parameters on the shrinkage in polypropylene (PP) and polystyrene (PS) has been investigated. The relationship between input and output of the process is investigated using regression analysis and ANOVA method. To do this, existing data is used. The selected input parameters are melting temperature, injection pressure, packing pressure and packing time. Effect of these parameters on the shrinkage of above mentioned materials is studied using mathematical modeling. For modeling the process, different types of regression equations including linear polynomial, Quadratic polynomial and logarithmic function, are used to interpolate experiment data. Next, using step backward elimination and 95% confidence level, insignificant parameters are eliminated from model. To check validity of the PP model, correlation coefficient of each model is calculated and the best model is selected. The same procedure is repeated for the PS model. Finally, optimum levels of the input parameters that minimize shrinkage, for both materials are determined. Simulated Annealing (sa) algorithm is applied on the developed mathematical models. The optimization results show that the proposed models and algorithm are effective in solving the mentioned problems.

关键词： Plastic injection molding shrinkage Regression Optimization sa algorithm

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sa-Based Orbital Design Method for GEO-BisaR Resolution Improvement 32

SA-Based Orbital Design Method for GEO-BiSAR Resolution Impr...

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32nd General Assembly and Scientific Symposium of the International-Union-of-Radio-Science (URSI GASS)

作者： Cheng, Yao Zhang, Shunsheng Zhao, Bingji Hu, Cheng Univ Elect Sci & Technol China Res Inst Elect Sci & Technol Chengdu Sichuan Peoples R China Beijing Inst Spacecraft Syst Engn Beijing Peoples R China Beijing Inst Technol Beijing Peoples R China

ISBN: (纸本)9789082598704

Compared with the monostatic geosynchronous synthetic aperture radar (GEO-saR) system, GEO bistatic saR (GEO-BisaR) shows great advantages in finer spatial resolution and higher signal-to-noise ratio (SNR) with less system complexity. Many scholars have done researches on resolution of GEO-BisaR, their models consist of a GEO transmitter and a low Earth orbit (LEO) receiver. The methods of improving the resolution by using two or more receivers are rare. In this paper, the system consists of a geosynchronous illuminator and two LEO receivers. The spectrum shift of saR images could be introduced by multi-view angles of acquired images in the same coverage. We can widen the bandwidth of saR images by combining the spectrum of two images to improve the resolution. The formation configuration design of two receivers is the crux of the matter. Then in this paper, an orbital design method of two receivers based on simulated-annealing (sa) algorithm is presented.

关键词： GEO-LEO bistatic synthetic aperture radar (BisaR) baseline vector resolution improvement factor spectral shift orbital design sa algorithm

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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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Time Optimal Trajectory Planning Based on Simulated Annealing algorithm for a Train Uncoupling Robot 29

Time Optimal Trajectory Planning Based on Simulated Annealin...

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第29届中国控制与决策会议

作者： Yao Jianjun Sun Cheng Zhang Le Xiao Chenguang Yang Ming Zhang Shiqi College of Mechanical and Electrical Engineering Harbin Engineering University

ISBN: (纸本)9781509046584

A train uncoupling robot with four degrees-of-freedom has been developed to replace humans in the uncoupling task in a marshalling field for designating freight cars to different *** can avoid picking the wrong hook,improve work efficiency and reduce the workload of *** planning can ensure that the robot moves to target position smoothly and *** Annealing(sa) algorithm based on penalty function is proposed to get the optimal time of trajectory planning in this *** optimal trajectories of robot joints are obtained under the constraints of maximum speed,maximum acceleration and maximum jerk *** can be seen from the simulation curves that the robot can move smoothly and there is no impact phenomenon.

关键词： Train Uncoupling Robot Trajectory Planning Time Optimal sa algorithm

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Emergency rush repair task scheduling of distribution networks in large-scale blackouts

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年 82卷 373-381页

作者： Pang, Nansheng Liu, Hao Huang, Shuyi Meng, Junjiao North China Elect Power Univ Sch Econ & Management Beijing Peoples R China

This paper focuses on the emergency rush-repair task scheduling of distribution networks in power grid emergencies. As there are many characteristics in distribution network emergency rush-repair such as large number of rush repair points, diverse but with limited repair resources and urgent repair time, this paper takes constraint conditions, such as a variety of execution modes and repair resources into consideration during the model building process of the emergency rush repair scheduling, and we study emergency repair strategies, such as using the emergency generator vehicle, nearby repair strategy and ordinary repair strategy. In order to obtain the optimal solution and satisfy the constraints of the distribution network repair model, this paper improves the traditional serial schedule generation mechanism to a distribution network repair serial schedule generation mechanism by using improved sa algorithm and hierarchical optimization method to search the optimal solution. Finally, we use the model to an example and analyze it. It is validated that the two schedule generation mechanisms that use nearby repair strategy and ordinary repair strategy are both effective. Both the advantages and disadvantages of two mechanisms, and the feasibility and rationality of the model are analyzed in this paper. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Large-scale power failures Distribution network rush repair Task scheduling Multi-objective model sa algorithm

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