thuật toán particle swarm optimization
Sử dụng thuật toán particle swarm optimization đánh giá độ trụ từ dữ liệu đo trên máy CMM c544
... THOẬT TOÁN TỐI ƢU BẦY ĐÀN 47 2.1 Tổng quan thuật toán Particle Swarm Optimization (PSO) 47 2.1.1 Giới thiệu 47 2.1.2 Thuật toán PSO 48 2.1.3 Sự khác biệt thuật toán ... PSO so với thuật toán tối ưu khác 51 2.1.4 Tính chất thuật toán PSO 52 2.1.5 Ưu nhược điểm thuật toán PSO 52 2.1.6 Ứng dụng thuật toán PSO .52 2.2 Thuật toán PSO song ... GIỚI THIỆU VỀ THOẬT TOÁN TỐI ƢU BẦY ĐÀN PARTICLE SWARM OPTIMIZATION (TỐI ƯU HÓA BẦY ĐÀN) 2.1 Tổng quan thuật toán Particle Swarm Optimization (PSO) Phương pháp tối ưu bầy đàn thuật tốn xây dựng...
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tóm tắt luận văn thạc sĩ kỹ thuật sử DỤNG THUẬT TOÁN PARTICLE SWARM OPTIMIZATION ĐÁNH GIÁ độ TRỤ từ dữ LIỆU đo TRÊN máy CMM c544
... biệt thuật toán PSO so với thuật tốn tối ưu khác 2.1.4 Tính chất thuật toán PSO 2.1.5 Ưu nhược điểm thuật toán PSO 2.1.6 Ứng dụng thuật toán PSO 2.2 Thuật toán PSO song song PSO nối tiếp 2.2.1 Thuật ... “Sử dụng thuật toán Particle Swarm Optimization đánh giá độ trụ từ liệu đo máy CMM C544” cấp thiết có ý nghĩa khoa học thực tiễn II Mục đích đề tài - Sử dụng thuật toán Particle Swarm Optimization ... THOẬT TOÁN TỐI ƯU BẦY ĐÀN PARTICLE SWARM OPTIMIZATION (TỐI ƯU HÓA BẦY ĐÀN) 2.1 Tổng quan thuật toán Particle Swarm Optimization (PSO) Phương pháp tối ưu bầy đàn thuật tốn xây dựng dựa khái niệm...
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Sử dụng thuật toán Particle Swarm Optimization đánh giá độ trụ từ dữ liệu đo trên máy CMM C544
... THOẬT TOÁN TỐI ƢU BẦY ĐÀN 47 2.1 Tổng quan thuật toán Particle Swarm Optimization (PSO) 47 2.1.1 Giới thiệu 47 2.1.2 Thuật toán PSO 48 2.1.3 Sự khác biệt thuật toán ... PSO so với thuật toán tối ưu khác 51 2.1.4 Tính chất thuật tốn PSO 52 2.1.5 Ưu nhược điểm thuật toán PSO 52 2.1.6 Ứng dụng thuật toán PSO .52 2.2 Thuật toán PSO song ... PSO ứng dụng 78 4.4 So sánh thuật toán PSO với thuật toán Dhanish 82 4.4.1 Thuật toán Dhanish xác định độ khơng tròn 82 4.4.2 Kết việc ứng dụng thuật toán Dhanish 89 4.4.3 Chuyển...
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Báo cáo khoa học: "Automatic Cost Estimation for Tree Edit Distance Using Particle Swarm Optimization" doc
... order to obtain this, the system is developed using an optimization framework based on PSO Particle Swarm Optimization PSO is a stochastic optimization technique which was introduced recently based ... of information In this algorithm each particle can learn from the experience of other particles in the same population (called swarm) In other words, each particle in the iterative search process ... Generate a random swarm of size n (cost of edit operations) 2) For each position of the particle from the swarm, obtain the fitness function value 3) Set the best position of each particle with its...
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Báo cáo hóa học: " Particle swarm optimization for pilot tones design in MIMO-OFDM systems" pot
... pseudo inverse, tr(.) is trace, E(.) is expectation [9,10] Particle swarm optimization The particle swarm optimization (PSO) is an evolutionary optimization algorithm whose mechanics are inspired by ... channel estimation method are presented in next section followed by particle swarm optimization, objective function of particle swarm optimization, simulation results and discussion Finally, this article ... parameters of particle swarm optimization that has been used for the optimization of location and (or) power of pilot tones are given as follows: swarm size = 20 for 128 subcarriers and swarm size...
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Báo cáo hóa học: " Research Article Camera Network Coverage Improving by Particle Swarm Optimization" docx
... Eberhart, Particle swarm optimization, ” in Proceedings of the IEEE International Conference on Neural Networks, pp 19421948, December 1995 B Brandstă tter and U Baumgartner, Particle swarm a optimization mass-spring ... population of particles is used to search the solution space of an optimization problem Each particle has a position vector and a velocity vector The position vector is a potential solution of the optimization ... algorithm, all the particles vary their positions and velocities to search for the best solution The optimal position found by the particles swarm is the final solution of the optimization + C3...
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Báo cáo hóa học: "Research Article Particle Swarm Optimization for Adaptive Resource Allocation in Communication Networks" pptx
... Rahmat-Samii, Particle swarm optimization in electromagnetics,” IEEE Transactions on Antennas and Propagation, vol 52, no 2, pp 397–407, 2004 [4] S Ghcitanchi, F H Ali, and E Stipidis, Particle swarm optimization ... networks using particle swarm optimization, ” in Proceedings of the IEEE Personal Wireless Communications, pp 201–205, 2002 [7] S M Guru, S K Halgamuge, and S Fernando, Particle swarm optimisers ... Announce end of optimization End Yes No C>1 Generate a super particle Calculate the LB using the fitness function No Replace the GB with the LB Yes LB > GB Move the particle to the GB particle consisting...
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Báo cáo hóa học: " Research Article A Suboptimal PTS Algorithm Based on Particle Swarm Optimization Technique for PAPR Reduction in OFDM Systems" potx
... antenna using a particle swarm optimization approach,” IEEE Transactions on Antennas and Propagation, vol 53, no 10, pp 1–7, 2005 [24] J Robinson and Y Rahmat-Samii, Particle swarm optimization ... appropriately changing the optimization for block W in Figure In this context, the population is called a swarm and the individuals are called particles Resembling the social behavior of a swarm of bees to ... Initialize a population of particles with random positions and velocities, where each particle contains K variable Step Evaluate the fitness values of all particles, let pbest of each particle and its objective...
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Multi objective particle swarm optimization algorithms and applications
... 32 A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization 33 3.1 Multiobjective Memetic Particle Swarm Optimization 34 3.1.1 3.1.2 Selection of Global ... vi A Distributed Co-evolutionary Particle Swarm Optimization Algorithm 93 5.1 Review of Existing Distributed MO Algorithms 5.2 Co-evolutionary Particle Swarm Optimization Algorithm 5.2.1 5.3 ... advanced and efficient optimization techniques This thesis investigates the application of an efficient optimization method, known as Particle Swarm Optimization (PSO), to the field of MO optimization CHAPTER...
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Particle swarm optimization in multi agents cooperation applications
... Cooperation Multi-Agents System Multi-level Particle Swarm Optimization Multi-level Multi-step Particle Swarm Optimization Neural Network Particle Swarm Optimization x Chapter Introduction 1.1 Overview: ... improvements will occur in the population, survive and generate their offspring 2.3.4 Particle Swarm Optimization Particle Swarm Optimization (PSO) is also a fruit of careful and minded observance of natural ... PSO [12] [13] Particle Swarm Optimization (PSO) is a global optimization algorithm PSO, with its simple concept and inexpensiveness in computation, can comprise a large number of particles and...
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Particle Swarm Optimization Basic Concepts, Variants and Applications in Power Systems
... Lamont, “Visualizing particle swarm optimization Gaussian particle swarm optimization, ” in Proc IEEE Swarm Intell Symp., Apr 2003, pp 198–204 [153] R Krohling, “Gaussian particle swarm with jumps,” ... advances in particle swarm, ” in Proc IEEE Congr Evol Comput., Jun 2004, vol 1, pp 90–97 [88] H Fan and Y Shi, “Study on Vmax of particle swarm optimization, ” in Proc Workshop on Particle Swarm Optimization, ... “Intelligent particle swarm optimization using Q-learning,” in Proc IEEE Swarm Intell Symp., May 2006, pp 7–12 [123] G Venayagamoorthy, “Adaptive critics for dynamic particle swarm optimization, ”...
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On solving multiobjective bin packing problems using evolutionary particle swarm optimization
... single run and is very suitable for solving MO problems [38,41] Particle swarm optimization (PSO) is based on swarming theory where all particles in the neighborhood depend on their discoveries and ... Eberhart, Particle swarm optimization, in: Proceedings of IEEE International Conference on Neural Networks, 1995, pp 1942–1948 [20] J Kennedy, R Eberhart, A discrete binary version of the particle swarm ... position of particles with generated bin sequences Generate random velocity vector for all particles End of initialization Fig 10 Initialization of initial solutions for the swarm of particles...
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DSpace at VNU: Optimal Reactive Power Dispatch Using Improved Pseudo-gradient Search Particle Swarm Optimization
... Polprasert et al.: Optimal Reactive Power Dispatch Using Improved Pseudo-gradient Search Particle Swarm Optimization Downloaded by [New York University] at 00:10 06 March 2016 Input/control variables ... (Artificial Intelligence in Power System Optimization) His research interests are in power system operation, artificial intelligence applications in power system optimization, smart grids, and microgrids ... interests are in power system operation, planning and analysis, and artificial intelligence-based optimization applications in power systems Weerakorn Ongsakul obtained his B.Eng (electrical engineering)...
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DSpace at VNU: Optimizing Municipal Solid Waste collection using Chaotic Particle Swarm Optimization in GIS based environments: A case study at Danang city, Vietnam
... – particle swarm optimization algorithm for the vehicle routing problem Expert Systems with Applications, 37(2), 1446–1455 Marinakis, Y., Marinaki, M., & Dounias, G (2010) A hybrid particle swarm ... direct the flying of the particles The particles fly through the problem space by following the current optimum particles He et al (2004) stated that the flying orientation of a particle is even affected ... of the swarm that is called ‘‘passive congregation’’ A random particle is opted as the representative of the swarm, appending in the process of updating new velocity and position of a particle...
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DSpace at VNU: Enhancing clustering quality of geo-demographic analysis using context fuzzy clustering type-2 and particle swarm optimization
... algorithms, and to converge quickly to the (sub-) optima solutions, a meta-heuristic optimization method namely Particle Swarm Optimization – PSO [18] is used to determine good initial centers for CFGWC2 ... (clusters) – N(C) - The number of particles in the beginning population – P - Maximal number of iteration steps in PSO – MaxStep PSO - Final center V(0) Output Particle Swarm Optimization (PSO) 1: 2: ... clustering quality of geo-demographic analysis using context fuzzy clustering type-2 and particle swarm optimization, Appl Soft Comput J (2014), http://dx.doi.org/10.1016/j.asoc.2014.04.025 G...
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DSpace at VNU: A Global Optimization Algorithm for Electromagnetic Devices by Combining Adaptive Taylor Kriging and Particle Swarm Optimization
... calculated by (4) XIA et al.: A GLOBAL OPTIMIZATION ALGORITHM FOR ELECTROMAGNETIC DEVICES 2063 Fig Flow chart of global optimization algorithm III GLOBAL OPTIMIZATION ALGORITHM EMPLOYING MULTIPLE ... tool for electromagnetic device optimization, ” IEEE Trans Magn., vol 40, no 2, pp 1196–1199, Mar 2001 [8] M T Pham, M H Song, and C S Koh, “Coupling particles swam optimization for multimodal electromagnetic ... electromagnetic design optimization, ” IET Sci Meas Technol., vol 1, no 1, pp 37–47, 2007 [3] N V Queipo, R T Haftka, W Shyy, T Goel, R Vaidyanathan, and P K Tucker, “Surrogate-based analysis and optimization, ”...
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DSpace at VNU: A novel particle swarm optimization - Based algorithm for the optimal communication spanning tree problem
... Calculate particle velocity according to (6.a) (or (6.b)) II PARTICLE SWARM OPTIMIZATION FOR SOLVING GRAPH COLORING PROBLEM A Particle swarm optimization Particle swarm optimization is a stochastic optimization ... Choose the particle with the best fitness value of all the particles as the gBest (or Choose the particle with the best fitness value of all the neighbors particles as the lBest) For each particle ... that is tracked by the particle swarm optimizer is the best value, obtained so far by any particle in the population This best value is a global best and called gbest When a particle takes part...
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DSpace at VNU: Estimation of water content of natural gases using particle swarm optimization method
... October 27 Kennedy, J (1997) The particle swarm: social adaptation of knowledge Proc IEEE Int Conf Evol Comput 303–308 Kennedy, J., and Eberhart, R (1995) Particle swarm optimization Proc IEEE Int ... for predicting water content of sweet and sour natural gases In this regard, a joining of particle swarm optimization and an artificial neural network was utilized The suggested model presents ... sweet gases and 10–150°C for sour gases Artificial neural network; modeling; natural gas; particle swarm optimization; water content Introduction Natural gases often contain water at the source...
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Incremental approach to particle swarm assisted function optimization
... Solutions on Global Optimization 30 2.4.2 2.4 Particle Swarm Optimization Issues on Multi-Objective Optimization Algorithms 36 Incremental Global Optimization 3.1 ... IPSO PR Polar-Ribiere PSO Particle Swarm Optimization QoS Quality of Services RA Relative Accuracy SB Sequential Balance SI Swarm Intelligence SOO Single Objective Optimization SOP Single Objective ... called a swarm and each solution is named a particle The particles “fly” through the search space to find the desired solution Each particle i (i = 1, 2, , s), where s is the number of particles...
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