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检索条件"主题词=PSO algorithm"

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Optimizationof Schedulingand Decisionmaking in Elderly Homecaresystem using Particle Swarm Optimization

Optimizationof Schedulingand Decisionmaking in Elderly Homec...

引用

International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

作者： Minimol, V. K. Shaji, R. S. NoorulIslamUniv Nagercoil Tamil Nadu India NoorulIslamUniv Dept IT Nagercoil Tamil Nadu India

ISBN: (纸本)9781479941902

The development of bodyArea Network and wireless sensor system had made drastic changes in the healthcare concept of human life. It is very usefull for elder people those who are being the burden of modern society. The elderly health care system givescontinuous monitoring of the old person and give instant diagnosis result or medical assistance to the people. The system mainly consideredwith three levels of processing such as Data acquisition, Activity detection and scheduling and processing. Being the system examines and evaluate some critical health care problems of elderly people by optimizing the scheduling and processing system will make the health care system more efficient and abless to the society. The paper tries to explain the optimization of processing and scheduling process through Particle Optimization algorithm

关键词： Elderly home care system Body area Network pso algorithm scheduling manager

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Fitness Function Evaluations: A Fair Stopping Condition?

Fitness Function Evaluations: A Fair Stopping Condition?

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IEEE Symposium on Swarm Intelligence (SIS)

作者： Engelbrecht, A. P. Univ Pretoria Dept Comp Sci ZA-0002 Pretoria South Africa

ISBN: (纸本)9781479944583

It has become acceptable practice to use only a limit on the number of fitness function evaluations (FEs) as a stopping condition when comparing population-based optimization algorithms, irrespective of the initial number of candidate solutions. This practice has been advocated in a number of competitions to compare the performance of population-based algorithms, and has been used in many articles that contain empirical comparisons of algorithms. This paper advocates the opinion that this practice does not result in fair comparisons, and provides an abundance of empirical evidence to support this claim. Empirical results are obtained from application of a standard global best particle swarm optimization (pso) algorithm with different swarm sizes under the same FE computational limit, on a large benchmark suite.

关键词： algorithm theory particle swarm optimisation FE computational limit pso algorithm benchmark suite candidate solutions fair stopping condition fitness function evaluations particle swarm optimization population-based optimization algorithms algorithm design and analysis Benchmark testing Educational institutions Iron Optimization Particle swarm optimization Standards

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Research on modeling and parameter identification of electro-hydraulic servo loading system

Research on modeling and parameter identification of electro...

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4th International Conference on Advances in Materials and Manufacturing (ICAMMP 2013)

作者： Wang, Song Yang, Chuangui Chen, Fei Yang, Zhaojun Tan, Zhuang Zhu, Guang Jilin Univ Key Lab CNC Equipment Reliabil Tech Machinery Ind Changchun 130025 Peoples R China

ISBN: (纸本)9783038350156

In order to improve the mathematical model's accuracy of the electro-hydraulic servo loading system from the high-speed motorized spindle reliability test bench. This paper establishes the mathematical model based on the dynamic characteristics of the test bench, then establishes discrete mathematical model of the system based on the Z-transform, and finally uses particle swarm optimization (pso) algorithm to identify the parameters of the discrete model. Additionally, the least square method is applied to identify the parameters of the model for measuring the pso algorithm parameter identification capability in our paper. The experimental results show that the mathematical model, identified by the pso algorithm, can simulate the loading process very well under the strong interference signals, and the result is better than that gotten by the least square method, which proves that the pso algorithm has high identification accuracy and better capability in parameters identification.

关键词： electro-hydraulic servo loading system pso algorithm parameter identification mathematical modeling reliability

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An Output based Adaptive Iterative Learning Control with Particle Swarm Optimization for Robotic Systems

An Output based Adaptive Iterative Learning Control with Par...

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International Applied Science on Precision Engineering Conference

作者： Wang, Ying-Chung Chien, Chiang-Ju Chuang, Chi-Nan Huafan Univ Dept Elect Engn New Taipei City 223 Taiwan

ISBN: (纸本)9783037859476

We consider an output based adaptive iterative learning control (AILC) for robotic systems with repetitive tasks in this paper. Since the joint velocities are not measurable, a sliding window of measurements and an averaging filter approach are used to design the AILC. Besides, the particle swarm optimization (pso) is used to adjust the learning gains in the learning process to improve the learning performance. Finally, a Lyapunov like analysis is applied to show that the norm of output tracking error will asymptotically converge to a tunable residual set as iteration goes to infinity.

关键词： Robotic systems AILC a sliding window of measurements pso algorithm

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The Computation of Concept Similarity Based on pso algorithm

The Computation of Concept Similarity Based on PSO Algorithm

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2010 2nd IEEE International Conference on Information and Financial Engineering(ICIFE2010)

作者： Jia Liu School of Information Science and Engineering Shandong Normal University Ji Nan,China HuaYu Wang School of Information Science and Engineering Shandong Normal University Ji Nan,China

Ontology heterogeneity restricts the application of *** key of ontology mapping is to compute concept *** present,the method of similarity computation is *** the computation quantity is *** order to decrease computation quantity and completely compute concept similarity,the influences of relations and attributes is considered and use candidate *** this paper,a computation method of similarity based on pso algorithm is *** first,the semantic similarity and descriptive similarity of concepts are *** the attribute priority is specified by pso *** last,the attribute with high priority is chosen according to the user *** two ontologies as example and compute concept *** results show that this calculative method can improve the precision of similarity and reduce the calculated quantity.

关键词： Ontology mapping Concept similarity pso algorithm Priority

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Study on Greenhouse Environment Neural Network Model Based on pso algorithm

Study on Greenhouse Environment Neural Network Model Based o...

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2010 International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2010)

作者： Bin Zhao1 2 1)College of Electromechanical Engineering Northeast Forestry University Harbin,Heilongjiang Province,China2) College of Information Technology Heilongjiang Bayi Agricultural University Daqing,Heilongjiang Province,ChinaKeqi Wang1 2) College of Information Technology Heilongjiang Bayi Agricultural University Daqing,Heilongjiang Province,China

Greenhouse environment models easily fitted strong noise data,and its' generalization *** this paper,ROLS(Regularized Orthogonal Least Squares) algorithm effectively decreased the influence of noise data,and automatically designed smaller NN ***(Particle Swarm Optimization) algorithm optimized the parameters of *** was experimented with spring environment data of northern greenhouse in *** results show:compared with model based on OLS algorithm,this model is of smaller NN structure,mean error of temperature and humidity respectively decreases 0.0008 ℃ and 0.0004%RH,this model is better on approximation and *** model is beneficial to design control scheme and structure of the northern greenhouse.

关键词： greenhouse model neural network pso algorithm ROLS algorithm

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Application of pso algorithm to Multi-objective Optimization in Network Planning

Application of PSO Algorithm to Multi-objective Optimization...

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2010 International Colloquium on Computing,Communication, Control, and Management (CCCM2010)

作者： Lixin QU,Yihong Zhou School of Water Resources and Hydropower Wuhan University Wuhan,430072,China Na Chen School of Business Hohai University Nanjing,211100,China

In this paper,we apply well-performed Particle Swarm Optimization(pso) algorithm to solve multi-objective optimization problem in engineering network planning,and propose possible initialization and constraints by multiconstrained matrix and heuristic criterion to reduce complexity of penalty *** the coding process,we define the particle,level objectives by importance,and build linear weighted method by fitness function of particles to resolve the partial ordering problem derived from multi-objective *** result indicates the proposed approach can increase the solution speed,reduce the solution difficulty of pso algorithm and search space about its *** it also demonstrates pso algorithm is practical and valid in multi-objective network optimization.

关键词： pso algorithm multi-objective optimization network planning

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Tolerance Optimization Design based on Physical Programming Methods and pso algorithm

Tolerance Optimization Design based on Physical Programming ...

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2010 International Conference on Test and Measurement (ICTM2010)

作者： H.B.Qiu,Y.Y.Dong*,Y.Wang,L.Gao The State Key Laboratory of Digital Manufacturing Equipment and Technology,Huazhong University of Science and Technology,Wuhan,CHINA,430074

Product tolerance is one of the key factors which can determine the good or bad performance of mechanical *** size not only affects the manufacturing and assembly process,but also affects product features [1].Thus tolerance optimization design gets more and more *** this paper,an improved physical programming method is used to make mathematical modeling for tolerance allocation problem of assembly dimensional chain,and pso algorithm is also used to improve solving *** the effective solution for tolerance optimization is designed.

关键词： Tolerance optimization Tolerance allocation Physical programming Assembly dimension chain pso algorithm

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The Computation of Concept Similarity Based on pso algorithm

The Computation of Concept Similarity Based on PSO Algorithm

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2010 2nd IEEE International Conference on Information and Financial Engineering(2010年第二届IEEE信息与金融工程国际会议 ICIFE 2010)

作者： Jia Liu HuaYu Wang School of Information Science and Engineering Shandong Normal University Ji Nan China

关键词： Ontology mapping Concept similarity pso algorithm Priority

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Applied Research of ADSHpso algorithm in Multi-UAV Cooperative Mission Planning

Applied Research of ADSHPSO Algorithm in Multi-UAV Cooperati...

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International Conference on Mechatronics, Robotics and Automation (ICMRA 2013)

作者： Wang, Xinzeng Xiao, Jinbao Luoyang Electron Equipment Test Ctr Xinyang Peoples R China

ISBN: (纸本)9783037858066

The particle swarm optimization algorithm was improved in this paper, a novel self-adaption dynamic sub-swarms hybrid particle swarm optimization algorithm is proposed, in this algorithm, subgroup partition method based on dynamic clustering of particle adaptive value is adopted to divide particle group to different capability sub-group, then execute different optimize strategy to different subgroup, simultaneity, inertial weight and accelerating coefficient are adaptive set, through contacting adjustment of parameter with sub-group capability, the particle mode method and intersect and aberrance strategy of double deck are designed, The experimental results show that the algorithm has simple programming, good robust capability and strong optimizing capability which established the foundation of task planning of multi-UAV Cooperative.

关键词： pso algorithm Improve Strategy Unmanned Aerial Vehicle (UAV) Mission Planning

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