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检索条件"主题词=particle swarm optimization algorithm"
1418 条 记 录,以下是1331-1340 订阅
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Generate and Optimize Fuzzy Rules Using the particle swarm algorithm
Generate and Optimize Fuzzy Rules Using the Particle Swarm A...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Esmin, A. A. A. Lambert-Torres, G. Univ Fed Lavras DCC UFLA Dept Comp Sci BR-37200000 Lavras MG Brazil
The success of fuzzy application to solve the control problems depends on a number of parameters, such as fuzzy rules and membership functions. The problem of generating desirable fuzzy rules is very important in the ... 详细信息
来源: 评论
Application and Comparison of Several Intelligent algorithms on Muskingum Routing Model
Application and Comparison of Several Intelligent Algorithms...
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2nd IEEE International Conference on Information and Financial Engineering (ICIFE)
作者: Yang Zhengxiang Kang Ling Huazhong Univ Sci & Technol Digital Engn & Simulat Res Ctr Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Sch Hydropower & Informat Engn Wuhan 430074 Hubei Peoples R China
In order to solve the problem of linearization, complexity and poor accuracy for parameter estimate of Muskingum Routing Model at present, this paper introduces three modern intelligent algorithms - Genetic algorithm ... 详细信息
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Hybrid particle swarm and Neural Network Approach for Streamflow Forecasting
Hybrid Particle Swarm and Neural Network Approach for Stream...
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9th International Conference on Numerical Analysis and optimization
作者: Sedki, A. Ouazar, D. Univ Mohammed V Agdal Mohammadia Sch Engn Dept Civil Engn Rabat Morocco
In this paper, an artificial neural network (ANN) based on hybrid algorithm combining particle swarm optimization (PSO) with back-propagation (BP) is proposed to forecast the daily streamflows in a catchment located i... 详细信息
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Research on Hybrid Improved PSO algorithm
Research on Hybrid Improved PSO Algorithm
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5th International Symposium on Intelligence Computation and Applications
作者: Shao, Yuxiang Chen, Qing Li, Cuihong China Univ Geosci Sch Comp Sci Wuhan 430074 Hubei Peoples R China Wuhan Inst Tech Sch Comp Sci & Engn Wuhan 430073 Peoples R China
In order to overcome the inherent deficiency in particle swarm optimization algorithm such as premature convergence, this paper presents crossover operator and mutation operator to improve particle swarm optimization ... 详细信息
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A Hybrid PSO/GA algorithm for Job Shop Scheduling Problem  1
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1st International Conference on swarm Intelligence
作者: Tang, Jianchao Zhang, Guoji Lin, Binbin Zhang, Bixi South China Univ Technol Sch Comp Sci & Engn Guangzhou 510641 Guangdong Peoples R China South Chain Normal Univ Comp Sch Guangzhou 510631 Peoples R China South China Univ Technol Coll Sci Guangzhou 510641 Guangdong Peoples R China Guangdong Univ Technol Sch Econ Management Guangzhou 510090 Peoples R China
The job shop scheduling problem is a well-known NI) hard problem, on which genetic algorithm is widely used However. due to the lack of the major evolution direction. the effectiveness of the regular genetic algorithm... 详细信息
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A New optimization Identification Method for Fault Diagnosis
A New Optimization Identification Method for Fault Diagnosis
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2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR)
作者: Tian, WenJie Liu, JiCheng Beijing Union Univ Automat Inst Beijing Peoples R China
Fault diagnosis of electronic circuit is important for safety of the device and relevant power system. In the study, support vector regression (SVR) classifiers combined with the particle swarm optimization algorithm ... 详细信息
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Research on Location model of Risk Pooling with Compensation Policy
Research on Location model of Risk Pooling with Compensation...
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International Conference on Logistics Systems and Intelligent Management
作者: Wang, Fei Jia, Tao Hu, Xinbu Changan Univ Sch Econ & Management Xian 710064 Peoples R China Xian Int Studies Univ Inst Human Geog Xian Peoples R China Xi An Jiao Tong Univ Sch Management Xian Peoples R China Engn Coll Armied Police Force Architecture Engn Dept Xian 710086 Peoples R China
We summarized recent research aimed at expanding the context of facility location decisions to incorporate additional features of a supply chain including variable construction cost, inventory management, transportati... 详细信息
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Using Heuristic Rules to Enhance a Multiswarm PSO for Dynamic Environments
Using Heuristic Rules to Enhance a Multiswarm PSO for Dynami...
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2010 IEEE World Congress on Computational Intelligence
作者: del Amo, Ignacio G. Pelta, David A. Gonzalez, Juan R. Univ Granada Models Decis & Optimizat MODO Res Grp Dept Comp Sci & Artificial Intelligence E-18071 Granada Spain
The particle swarm optimization (PSO) algorithm has been successfully applied to dynamic optimization problems with very competitive results. One of its best performing variants, the mQSO is based on an atomic model, ... 详细信息
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Soft Sensor Modeling Based on PSO-FNN for Lysine Fermentation Process
Soft Sensor Modeling Based on PSO-FNN for Lysine Fermentatio...
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2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR)
作者: Huang, Yonghong Xia, Chenglin Sun, Yukun Zhu, Xianglin Wang, Yuejun Jiangsu Univ Sch Elect & Informat Engn Zhenjiang Peoples R China Chinese Acad Fishery Sci Yellow Sea Fisheries Res Inst Qingdao Peoples R China
In fermentation process, fuzzy neural networks (FNN) is a novel machine learning method of soft sensor modeling, while the typical algorithm of FNN is inefficient because they can not optimize fuzzy rules and has long... 详细信息
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Structural Design of Optimized Polynomial Radial Basis Function Neural Networks
Structural Design of Optimized Polynomial Radial Basis Funct...
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7th International Symposium on Neural Networks
作者: Kim, Young-Hoon Kim, Hyun-Ki Oh, Sung-Kwun Univ Suwon Dept Elect Engn Hwaseong Si 445743 Gyeonggi Do South Korea
In this paper, we introduce optimization methods of Polynomial Radial Basis Function Neural Network (pRBFNN). The connection weight of proposed pRBFNN is represented as four kinds of polynomials, unlike in most conven... 详细信息
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