intelligent-particle swarm optimization
Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
... Web caching is a technology for improving network traffic on the internet. It is a temporary storage of Web objects (such as HTML documents) for later retrieval. There are three significant advantages to Web caching; ...
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A Novel PSO Algorithm Model Based on Population Migration Strategy and its Application
... the intelligent behavior of social population, the centroid of the individual best of particle swarm is firstly introduced in particle swarm optimization (PSO) model to enhance ...
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PID Controller Optimization for Rotational Inverted Pendulum System Using Particle Swarm Optimization and Differential Evolution Algorithms
... proposed intelligent techniques establish a new prospective to find efficient optimal solution of PID gains for any nonlinear industrial plants with unknown process ...
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Design and Experimental Evaluation of PSO and PID Controller based Wireless Room Heating System
... system intelligent by applying PID controller with particle swarm optimization algorithm on master unit which collects the data from all slave nodes, so that a fixed room temperature can be ...
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Intelligent Skin Cancer Detection Using Enhanced Particle Swarm Optimization
... the swarm into two subpopulations, ...maintain swarm diversity whereas a self-adaptive probabilistic selection scheme was used to identify the best PSO algorithm from the pool in each iteration using the ...
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Obstacle Avoidance Strategy of Intelligent Vehicle Path Planning Based on Particle Swarm Optimization
... After the modeling is finished, the path planning problem is transformed into a constrained optimization problem. The objective function is to minimize the length of the path and the constraint is that any ...
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Intelligent water drop algorithm powered by tabu search to achieve near optimal solution for grid scheduling
... PSO is a population-based search algorithm based on the simulation of the social behavior of bird flocking and fish schooling. Hu, Ouyang, Yang, Chen [7] proposes an Immune Particle Swarm ...
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The Discrete Particle Swarm Optimization Algorithms For Permutation Flowshop Scheduling Problem
... The computational results show the proposed algorithms were successfully to solve the PFSP. It produces an optimal solution in the total earliness and total tardiness criterion. HDPSO produced better results than MPSO. ...
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SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION
... Particle Swarm Optimization (PSO) is a population based stochastic search technique introduced by Kennedy and Eberhart in 1995 [Eberhart ...on particle swarm and parallel global random ...
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Particle swarm optimization in intelligent routing of delay tolerant network routing
... Delay-tolerant networks (DTNs) are wireless partitioned networks. Because of intermittency, mobile ad hoc network (MANET) routing protocols are not efficient in DTNs. Wildlife tracking, vehicular networks, interplanetary ...
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Intelligent Skin Cancer Detection Using Enhanced Particle Swarm Optimization
... Recently, many researchers have adopted multiple methods for early melanoma diagnosis. Some studies indicated that the classification performances can be improved by removing redundant or irrelevant features from the ...
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A novel intelligent fault diagnosis method of rotating machinery based on deep learning and PSO-SVM
... an intelligent fault diagnosis method is proposed based on the deep learning neural network and particle swarm optimization support vector ...subsequent intelligent classification and ...
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Study on the optimization algorithm of sediment particle Imshanage
... sediment particle image is the main bottleneck restricting river sediment image segmentation algorithm to ...basic particle swarm optimization (PSO) algorithm, a modified particle ...
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Comparative Analysis Of Swarm Intelligence Optimization Techniques For Cloud Scheduling
... every particle is updated by following two "best" ...the particle swarm optimizer is the best value, obtained so far by any particle in the ...a particle takes part of the ...
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Ensemble learning particle swarm optimization for real time UWB indoor localization
... Particle swarm optimization (PSO) is a population-level intelligent algorithm firstly proposed by Kennedy and Eberhart in 1995 [8, 9], which is originally from artificial intelligence and ...
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Optimal Capacitor Allocation in 69-bus Radial Distribution System to Improve Annual Cost Savings for Dynamic Load Sarath Bapu R S S 1, Chandra Prakash V2 , Dr. S.M.Kannan 3
... methods Particle Swarm Optimization (PSO) and Multi-Agent Particle Swarm Optimization (MAPSO) for more effective capacitor placement in radial distribution system to reduce the ...
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Fusion global-local-topology particle swarm optimization for global optimization problems
... each particle is affected by the best-fitness particles of the entire population in the search space while each particle is influenced by the best-fitness particles of its neighborhood in the local ...
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Parameter selection and performance comparison of particle swarm optimization in sensor networks localization
... many particle swarm optimization-based localization algorithms have been proposed in recent years, but it lacks of parameter selection and comprehensive comparison of these ...existing ...
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Optimized Task Scheduling in Cloud Computing: A Survey
... executed particle swarm optimization method to improve the undertaking planning calculations ...utilizing Particle Swarm Optimization (PSO) calculation an iterative choice ...
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Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
... Each particle will retain its position, consisting of fitness that has been ...each particle can remember the best fitness value ever achieved during the operation of the algorithm, which is called the best ...
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