the Particle Swarm Optimization (PSO)
Swarm Intelligence Techniques focusing Particle Swarm Optimization (PSO)
... The Particle Swarm Optimization algorithm is similar to many population based algorithms such as Genetic Algorithm but they don’t have any direct re-combination of individuals of the ...algorithms, ...
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Validation of Hybridized Particle Swarm Optimization (PSO) Algorithm with the Pheromone Mechanism of Ant Colony Optimization (ACO) using Standard Benchmark Function
... conventional Particle Swarm Optimization (PSO) algorithm with the pheromone mechanism of Ant Colony Optimization (ACO) to attain faster convergence on a feasible standard PSO ...
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A diverse versions and variations of Particle Swarm Optimization (PSO) algorithm for real world complex optimization problems
... self-adaptive particle Swarm Optimization and modified shuffled frog leaping algorithm for distribution feeder reconfiguration ...Adaptive Particle Swarm Optimization – Modified ...
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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 ...
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Optimizing blasting’s air overpressure prediction model using swarm intelligence
... Abstract. Air overpressure (AOp) resulting from blasting can cause damage and nuisance to nearby civilians. Thus, it is important to be able to predict AOp accurately. In this study, 8 different Artificial Neural Network ...
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A Novel PSO Algorithm Model Based on Population Migration Strategy and its Application
... global optimization problem of the objective function having nonlinear or multipeaked ...global optimization algorithms were proposed mainly through the simulation of the evolution process of a group with ...
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Neural Network Optimization by Swarm Intelligence for Prediction & Classification of Benchmark Datasets
... purpose optimization method known as Particle Swarm Optimization (PSO) [2] is due to Kennedy, Eberhart and Shi and works by maintaining a swarm of particles that move around in ...
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Improving the Quality of Image Using Particle Swarm Optimization
... an optimization problem. We can use particle swarm optimization (PSO) is used to solve ...by PSO based on given criterion ...
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Multilevel Thresholding Segmentation based on Otsu’s Method and Autonomous Groups Particle Swarm Optimization for Multispectral Image
... the Particle Swarm Optimization (PSO) algorithm combined with the Otsu Method called multilevel thresholding Autonomous Groups Particles Swarm Optimization (MAGPSO) is proposed ...
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Multi-objective Comprehensive Optimal Management of Construction Projects Based on Particle Algorithm
... The optimization of construction project management can greatly optimize the cycle, cost and quality of ...management optimization model of construction projects and the particle swarm ...
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A Review on Clustering Web data using PSO
... as Particle Swarm Optimization (PSO). PSO is a bio-inspired swarm intelligence algorithm introduced by Kennedy and Eberhart in 1995 as a population-based stochastic search 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 ...
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Review of Particle Swarm Optimization Techniques
... evolutionary Optimization techniques are extensively used in engineering to optimize multiobjective, multimodal, multidimensional, nonlinear function and real word ...i.e. Particle Swarm ...
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Wireless Sensor Network Coverage Optimization based on Whale Group Algorithm
... Particle swarm optimization is also applied in wireless sensor network coverage ...adaptive particle swarm optimization algorithm is proposed to add the degree of aggregation and ...
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Optimal Design of Single-Phase Induction Motor Using MPSO and FEM
... Particle Swarm Optimization (PSO) was introduced by Kenedy and Eberhart ...of PSO greatly depends on the selection of its parameters and if they are not selected properly the ...
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Comparative Analysis Of Swarm Intelligence Optimization Techniques For Cloud Scheduling
... The PSO is a stochastic, population-based computer algorithm modelled on swarm ...intelligence. Particle swarm optimization (PSO) is a population based optimization ...
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Comparative Analysis of SPSO and PSO to Optimal Power Flow Solutions
... two optimization techniques Particle Swarm Optimization (PSO) and Sliced Particle Swarm Optimization (SPSO) are used for solving Optimal Power Flow (OPF) problem ...
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Theoretical Investigation of Combined Use of PSO, Tabu Search and Lagrangian Relaxation methods to solve the Unit Commitment Problem
... one optimization to the ...on particle swarm optimization (PSO) algorithm for solving the unit commitment ...of particle swarm: binary particle swarm ...
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Optimization Of Rate Of Penetration With Real Time Measurements Using Machine Learning And Meta-Heuristic Algorithm
... (ROP) optimization is one of the primary factors to improve drilling efficiency and to minimize the operational cost of rigs, drilling operation and drilling ...designing Particle Swarm ...
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PID Controller Optimization for Rotational Inverted Pendulum System Using Particle Swarm Optimization and Differential Evolution Algorithms
... including Particle Swarm Optimization (PSO), Constriction Coefficient Particle Swarm Optimization (CPSO) and Differential Evolution (DE) algorithms for determining optimal ...
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