particle swarm optimization (PSO) algorithm and design of experiment (DOE)
Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... of Particle Swarm Optimization (PSO) algorithm such as Adaptive Particle Swarm Optimization (APSO) and Particle Swarm Optimization with an Aging Leader and ...
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Particle swarm optimization application in optimization
... A multilayer perceptron model of beltline moulding was used to determine the optimal number of hidden units to represent the model and particle swarm optimization was used to minimize th[r] ...
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Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
... The Particle Swarm Optimization algorithm is an algorithm with evolutionary computing techniques that is motivated through a set of social ...The Particle Swarm Optimization ...
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Parameter selection and performance comparison of particle swarm optimization in sensor networks localization
... 27. Okamoto, E.; Horiba, M.; Nakashima, K.; Shinohara, T.; Matsumura, K. Particle swarm optimization-based low-complexity three-dimensional UWB localization scheme. In Proceedings of the 2014 Sixth ...
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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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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... Chaotic particle swarm optimization (CPSO) is a newly developed optimization technique which combines the benefits of particle swarm optimization (PSO) and the chaotic ...
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Fusion global-local-topology particle swarm optimization for global optimization problems
... learning particle swarm optimization (CLPSO) which focused on avoiding the local optima by encouraging each particle to learn its behavior from other particles on different ...
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Ensemble learning particle swarm optimization for real time UWB indoor localization
... a particle swarm optimization algorithm composed of three variants of PSO under super best ...a particle learns not only from its own experience and its neighbors’ experience, but also from ...
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A. Particle Swarm Optimization
... [11], particle swarm optimization (PSO) simulates the social behavior of ...each particle will calculate the fitness value by a designed ...considers particle speed and best fitness ...
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Automated Brain Tumor Segmentation and Detection in MRI Using Enhanced Darwinian Particle Swarm Optimization(EDPSO)
... Darwinian Particle Swarm Optimization (EDPSO) is proposed for automated tumor segmentation which overcomes the drawback of existing Particle Swarm ...Darwinian Particle ...
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The Discrete Particle Swarm Optimization Algorithms For Permutation Flowshop Scheduling Problem
... Some exact and heuristic algorithms have been proposed over the past decades. These have been used for solving the PFSP with the objectives of minimizing total earliness and total tardiness. Scheduling problems with ...
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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... hybrid Particle Swarm Optimization – Variable Neighborhood Search algorithm for Constrained Shortest Path ...Function Optimization Solution in Search ...
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Overview of Particle Swarm Optimization
... Now days, as restructuring of power system increases the congestion of power flow in the transmission system, the Optimal Power Flow plays an important role in day to day power system operation and control to maintain ...
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Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm
... Intelligent optimization algorithm was a calculate method that was developed by using the various principles and mechanisms of natural phenomena or organism and had the adaptive capacity of the ...intelligent ...
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Particle Swarm Optimization - A Survey
... SUMMARY Particle Swarm Optimization (PSO) is a search method which utilizes a set of agents that move through the search space to find the global minimum of an objective ...each particle is ...
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Applications of Particle Swarm Optimization
... Particle swarm optimization (PSO developed by Dr. Eberhart and Dr. Kennedy in 1995, which is a population based stochastic optimization technique.It is inspired by social behavior of bird ...
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A. Binary Particle Swarm Optimization
... In this paper, chaotic binary particle swarm optimization (CBPSO) with logistic map for determining the inertia weight is used. The K-nearest neighbor (K-NN) method based on Euclidean distance ...
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Multidimensional Particle Swarm Optimization for Machine Learning
... In this paper, we investigate the performance of global vs. local techniques applied to the training of neu- ral network classifiers for solving medical diagnosis problems. The presented methodology of the inves- tigation ...
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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique
... the particle swarm optimization with the chaotic ...Improved Particle Swarm Optimization (IPSO) combined the PSO algorithm with chaotic sequences ...
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Constraint Optimization For Nurse Rostering Using Particle Swarm Optimization With Global Optimum Test Function
... LIST OF ABBREVIATIONS Co-PSO- Constraint Optimization for Nurse Rostering using Particle Swarm Optimization with Global Optimum Test Function PSO- Particle swarm optimization AI- Artific[r] ...
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