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检索条件"主题词=differential evolution algorithm"

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Comparative analysis of evolutionary algorithms for the problem of parametric optimization of PID controllers 12th

Comparative analysis of evolutionary algorithms for the prob...

引用

12th International Symposium on Intelligent Systems (INTELS)

作者： Konstantinov, S. V. Baryshnikov, A. A. RUDN Univ 6 Mikluho Maklaya Str Moscow 117198 Russia

Six modern and promising evolutionary algorithms are described: genetic algorithm, differential evolution method, variational genetic algorithm, particle swarm optimization algorithm, bat-inspired method and firefly algorithm. For all algorithms brief description and main steps of receiving solution are given. In the experimental part all algorithms are compared by the effectiveness of solving the parametric optimization problem for PID controllers. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： evolutionary algorithms global optimization problem genetic algorithm differential evolution algorithm variational genetic algorithm particle swarm optimization bat-inspired algorithm fireflies algorithm

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A Hybrid algorithm Application for the Multi-Size Pallet Loading Problem Case Study: Lamp and Lighting Factory 4

A Hybrid Algorithm Application for the Multi-Size Pallet Loa...

引用

4th International Conference on Industrial Engineering and Applications (ICIEA)

作者： Piyachayawat, Thanakrit Mungwattana, Anan Kasetsart Univ Fac Engn Dept Ind Engn 50 Paholyothin Rd Jatujak 10900 Bkk Thailand

ISBN: (纸本)9781509067756

This research considers a Distributor's Pallet Loading Problem with multi-size of boxes and pallets in a lamp and lighting factory. The objective is to find a loading solution that contain the minimum amount of used area by pallets. An application base on Genetic algorithm and differential evolution algorithm is developed to solve the problem. The results obtain by compare the application's solution to Human's solution from real problems. They show that the application's solutions are mostly better in both of used area and computation times.

关键词： distributor's pallet loading problem multi-size pallet genetic algorithm differential evolution algorithm

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Comparison of DE Optimized PID Controllers for AGC of Interconnected Power System 1

Comparison of DE Optimized PID Controllers for AGC of Interc...

引用

International Conference on Computer Communications and Electronics (Comptelix)

作者： Mewara, Akash Parmar, Girish Rajasthan Tech Univ Dept Elect Engn Kota Rajasthan India

ISBN: (纸本)9781509047086

The differential evolution (DE) algorithm has been employed for tuning the parameters of the PID controllers existing into the load frequency control (LFC) system of standard interconnected thermal power system by considering the minimization of three objective functions based on the ITAE, damping ratio of dominant eigen values and settling times of frequency and tie line power deviations. The disturbance of 0.1 p.u. step load change is considered in to the area-l at time t=0 second by keeping no change in area-2 and the system performance has been evaluated in terms of damping ratio, ITAE value, the dynamic responses and time domain specifications. The system performance with PID controllers tuned using DE, are also compared with the performance of the same system optimized by the different techniques in literature such as: BFOA tuned PI controllers, GA tuned PI controllers and DE tuned PI controllers. In the present work, the results show that the better dynamic responses have been obtained by the proposed DE tuned PID controllers with less settling times, smaller overshoots, good damping behavior for the oscillations and less ITAE value as compared to some other techniques mentioned above.

关键词： Load frequency control interconnected power systems PID controllers differential evolution algorithm

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Non-integer order control for LFC problem of two-area thermal power system with GRC

Non-integer order control for LFC problem of two-area therma...

引用

International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology (ICIEEIMT)

作者： Topno, Pretty Neelam Chanana, Saurabh Natl Inst Technol Dept Elect Engn Kurukshetra Haryana India

ISBN: (纸本)9781509045273

In this paper, a non-integer (fractional) order controller namely tilt integral derivative controller has been introduced as supplementary controller in automatic generation control (AGC) of a two-area power system. Generally, classical control approach such as PI control and PID control has been most widely used in AGC scheme, but due to increase in complexity of the power system, the performance of classical control approach has been lagged behind. To study the effectiveness of tilt integral derivative (TID) controller in AGC scheme, two case studies presenting different non-linearities have been presented in the paper. Non-linearities in the form of step load perturbations and generation rate constraint (GRC) have been introduced in the system. For such operating conditions, an optimization problem using ITAE performance index has been formulated and a differential evolution algorithm has been used to optimize and determine the parameters of PI, PID and TID controller. Further, a comparison between PI, PID and TID control approach has been presented in the paper which shows the robustness property of TID controller and its superiority over PI and PID controller in an interconnected power system.

关键词： Load frequency control differential evolution algorithm ITAE performance index PI control PID control TID control

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Research on geoacoustic inversion based on Kriging surrogate model 7

Research on geoacoustic inversion based on Kriging surrogate...

引用

IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

作者： Zhang, Lilun Guo, Xianpeng Lu, Zengquan Wang, Dezhi Wang, Yongxian Natl Univ Def Technol Acad Marine Sci & Engn Changsha Hunan Peoples R China

ISBN: (纸本)9781538631423

The surrogate model of underwater acoustic propagation and efficient inversion of geoacoustic parameters are studied in this work. Specifically, Kriging surrogate model is used to substitute the classical computation models of underwater sound field, such as Kraken, in order to achieve a balance between computational efficiency and accuracy. On this basis, the Kriging model is further integrated into the framework of geoacoustic inversion as a forward model, which offers a new idea to accelerate the time-consuming calculation of sound field in the inversion process. The match-field inversion is optimized by using differential evolution algorithm. The results show that the proposed method can greatly improve the efficiency of geoacoustic inversion without obviously decreasing the inversion accuracy.

关键词： Kriging surrogate model Match field differential evolution algorithm geoacoustic inversion

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Position-based Mode Selection and Resource Allocation for D2D Communications Underlaying Cellular Networks 9

Position-based Mode Selection and Resource Allocation for D2...

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9th International Conference on Wireless Communication and Signal Processing (WCSP)

作者： Liu, Xiaoyan Li, Xiukui Liu, Changsheng Dalian Univ Technol Dalian Peoples R China

ISBN: (纸本)9781538620625

The Device-to-Device (D2D) communication underlaying cellular networks has advantages of improving the spectral utilization, data rate, and energy efficiency. This paper studies a position-based mode selection and resource allocation scheme for D2D communications underlaying cellular networks. With position information available, first an offline channel state information (CSI) retrieval model is introduced. Divide a cell into multiple geographical grids with equal size. Within each grid, each mobile station feedbacks the received strength of signals from eNBs or D2D transmitters in other girds to the connected eNB with location information. The eNB will average the collected signal strengths and further retrieve CSI which will be used to estimate SINR in that grid. Based on this model, an optimization problem is formulated to maximize the sum rate of all users. We propose to employ the differential evolution algorithm to solve this problem to find the optimum mode and resource allocation. Simulations are conducted to verify the advantages of the proposed scheme.

关键词： Position based communication Device-to-Device mode selection resource allocation differential evolution algorithm

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Automated Antenna Design Using Self-adaptive differential evolution algorithm

Automated Antenna Design Using Self-adaptive Differential Ev...

引用

International Conference on Intelligent Computation Technology and Automation

作者： Kun Qin Sanyou Zeng Zhengjun Li Hongyong Jing China University of Geosciences (Wuhan) China Academy of Space Technology (Xi'an)

ISBN: (纸本)9781612842899

As we knew, an evolved X-band antenna for NASA's Space Technology 5 (ST5) spacecraft had been deployed on schedule in 2006. This paper uses Self-adaptive differential evolution algorithm (SaDE) to solve ST5 antenna design problem. The performance of SaDE is reported on the set of 24 benchmark functions provided by CEC2006 special session on real parameter optimization. The experimental result shows SaDE can solve ST5 antenna design problem effectively. The simulation result indicates our evolved antenna's voltage standing wave ratio performance is better than NASA evolved antenna and gain performance is competitive. Moreover, our evolved antenna was evolved on finite ground plane, the specified size for the ST5 antenna, while NASA's on infinite ground.

关键词： differential evolution algorithm Automated Antenna Design Self-adaptive

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Comparative Performance Analysis of Classical Controllers for Automatic Voltage Regulator 7

Comparative Performance Analysis of Classical Controllers fo...

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7th International Conference on Power Systems (ICPS)

作者： Chatterjee, Shamik Mukherjee, Vivekananda Indian Inst Technol ISM Dept Elect Engn Dhanbad Bihar India

ISBN: (纸本)9781538617892

This paper proposes a four term proportional-integral- derivative plus second order derivative (PIDD2) controller for automatic voltage regulator (AVR) system. The four parameters of the proposed controller are optimized using linear quadratic regulator (LQR) method. A juxtaposition of voltage responses of the AVR system with PID controller, tuned by different optimization techniques, and the voltage response obtained from the AVR system controlled by proposed controller is accomplished. Robustness analysis of the proposed PIDD2 controller is performed for controlling the AVR system while changing the studied system parameters. Simulation results manifest a stupendous response of the proposed PIDD2 controller in collation to the other optimizing techniques based PID controller for controlling the studied AVR system. Moreover, it is entrenched that the proposed PIDD2 controller is robust enough to control the studied system with variation in system parameters within a substantial range.

关键词： Artificial Bee Colony automatic voltage regulator differential evolution algorithm linear quadratic regulator particle swarm optimization

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A Parallel Optimization algorithm Based on Communication Strategy of Pollens and Agents 12th

A Parallel Optimization Algorithm Based on Communication Str...

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12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)

作者： Tsai, Pei-Wei Trong-The Nguyen Pan, Jeng-Shyang Thi-Kien Dao Zheng, Wei-Min Fujian Univ Technol Coll Informat Sci & Engn Fuzhou Peoples R China Fujian Univ Technol Fujian Prov Key Lab Big Data Min & Applicat Fuzhou Peoples R China Hai Phong Private Univ Dept Informat Technol Haiphong Vietnam Chinese Acad Sci Inst Informat Engn Beijing 100093 Peoples R China

ISBN: (纸本)9783319502120;9783319502113

Unwanted convergence to a local optimum, rather than global optimum, is possible to take place in practical multimodal optimization problems. Communication between artificial agents in the stochastic algorithms is one of the solutions to this issue. This paper proposes a novel parallel optimization algorithm, namely FDA,based on the communication of the pollen in Flower pollination algorithm (FPA) with the agents in differential evolution algorithm (DEA) to solve the optimization problems. A communication strategy for Pollens and Agents is to take advantages of the strength points of each algorithm to explore and exploit the diversity solutions in avoiding of dropping to a local optimum. A set of benchmark functions is used to test the quality performance of the proposed algorithm. Simulation results show that the proposed algorithm increases the accuracy more than the existing algorithms.

关键词： Parallel optimization algorithm differential evolution algorithm Flower pollination algorithm

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Boiler combustion condition monitoring and optimization system based on LabVIEW 13

Boiler combustion condition monitoring and optimization syst...

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2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)

作者： Wang Dongfeng Li Yingbao Department of Automation North China Electric Power University

ISBN: (纸本)9781509050369;9781509050352

To realize the boiler combustion condition monitoring and optimal adjustment, a boiler combustion conditions monitoring and optimization system based on Lab VIEW was proposed. The system used OPC communication technology to realize the remote monitoring and display of boiler combustion operation parameters. In addition, the system applied neural network prediction modeling to realize the on-line soft measurement of flue gas temperature, oxygen content, carbon content of fly ash and nitrogen oxides content, and combined with differential evolution algorithm to seek the boiler optimal secondary air, over-fired air throttle opening parameters under current operating condition. The application results of the system on a 600 MW coal-fired boiler showed that the system achieved remote combustion condition monitoring by connecting the OPC tags to the flue gas measuring points of the temperature, oxygen content etc.;combustion optimization tests were carried out in two conditions of 40% load and 90% load of the unit, found the flue gas temperature, carbon content of fly ash and nitrogen oxides(NOx) content averagely declined by 20%, 23% and 31% after combustion optimization in the 40% load, which is of great significance to improve the combustion efficiency of the boiler and reduce NOx emissions.

关键词： Combustion condition monitoring LabVIEW OPC communication Neural network Soft measurement differential evolution algorithm Combustion efficiency NOx emissions

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