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particle swarm optimization technique

Detection & Identification of Rice Leaf Diseases using Multiclass SVM and Particle Swarm Optimization Technique

Detection & Identification of Rice Leaf Diseases using Multiclass SVM and Particle Swarm Optimization Technique

... Abstract: In India the economic, political and social stability depend directly as well as indirectly on the annual production of rice. The income of hundreds of millions of people depends only on rice production and ...

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Particle Swarm Optimization: Technique, System and Challenges

Particle Swarm Optimization: Technique, System and Challenges

... original particle swarm optimization, there has also a lack of solution, because it is very easy to move to local ...the particle equal to global best and local best then the particle ...

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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique

A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique

... clustering-based particle swarm (FCPSO) algorithm has been proposed to solve the highly constrained EED problem involving conflicting ...clustering technique, manages the size of the repository ...

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Multi-Area Economic Dispatch Performance Using Swarm Intelligence Technique Considering Voltage Stability

Multi-Area Economic Dispatch Performance Using Swarm Intelligence Technique Considering Voltage Stability

... reliable technique to achieve minimal cost; otherwise, a non-optimal solution may cause non-economic electricity generation to the ...using swarm intelligence technique. In this study, swarm ...

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Comparative Analysis of Various Evolutionary Techniques of Load Balancing: A Review

Comparative Analysis of Various Evolutionary Techniques of Load Balancing: A Review

... The Particle swarm optimization(PSO) is a stochastic, population-based computer algorithm modelled on swarm intelligence that finds a solution of optimization problem in a search space ...

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Performance Comparison of Invasive Weed Optimization and Particle Swarm Optimization Algorithm for the tuning of Power System Stabilizer in Multi machine Power System

Performance Comparison of Invasive Weed Optimization and Particle Swarm Optimization Algorithm for the tuning of Power System Stabilizer in Multi machine Power System

... Weed Optimization and Particle Swarm Optimization technique is investigated for the design of Power System Stabilizers for the damping of low frequency oscillation of a four machine ...

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Optimal Location of SVC for Voltage Stability Enhancement under Contingency Condition through PSO Algorithm

Optimal Location of SVC for Voltage Stability Enhancement under Contingency Condition through PSO Algorithm

... a Particle Swarm Optimization (PSO) based optimal location and sizing of Static Var Compensator (SVC) to improve voltage stability under the most critical line outage contingency in a power system ...

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A COMPARATIVE STUDY OF ECONOMIC LOAD DISPATCH BY USING GA AND PSO

A COMPARATIVE STUDY OF ECONOMIC LOAD DISPATCH BY USING GA AND PSO

... evolutionary optimization technique genetic algorithm and particle swarm optimization which are generic population based probabilistic search optimization algorithms and can be ...

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Cluster identification for optimal placement of static var compensator

Cluster identification for optimal placement of static var compensator

... on particle swarm optimization (PSO) technique with objective function to minimize the transmission loss in the ...proposed technique, while verification was conducted through ...

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Comparative Analysis of SPSO and PSO to Optimal Power Flow Solutions

Comparative Analysis of SPSO and PSO to Optimal Power Flow Solutions

... new optimization technique named as Sliced Particle Swarm Optimization (SPSO) introduces the slicing of search space into rectangular ...

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A Solution to Economic Dispatch Problem Using Augmented lagrangian Particle Swarm Optimization

A Solution to Economic Dispatch Problem Using Augmented lagrangian Particle Swarm Optimization

... mathematical optimization methods, such as Dynamic programming, lambda method, gradient method, and Newton ...many optimization techniques for solving ELD problem such as fuzzy, GA, hybrid techniques etc ...

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Optimal Dispatch of Real Power Generation using Particle Swarm Optimization: a Case Study of Egbin Thermal Station

Optimal Dispatch of Real Power Generation using Particle Swarm Optimization: a Case Study of Egbin Thermal Station

... optimization problems of Egbin thermal station, that are nonlinear, non-differentiable and multi- modal and also to find optimal solution to the OLD problem including losses and generating operational limits. PSO ...

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INTERNATIONALJ OURNAL OF ENGINEERINGS CIENCES & MANAGEMENT CONTROLLERS ANALYSIS FOR GENERATION CONTROL OF TWO AREA INTERCONNECTED POWER SYSTEM Priyanka Mitra 1, Chirag Gupta2

INTERNATIONALJ OURNAL OF ENGINEERINGS CIENCES & MANAGEMENT CONTROLLERS ANALYSIS FOR GENERATION CONTROL OF TWO AREA INTERCONNECTED POWER SYSTEM Priyanka Mitra 1, Chirag Gupta2

... computational technique Particle Swarm Optimization (PSO) is used here for simultaneous optimization of several parameters for both primary and secondary control loops of the governor ...

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RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR 
INDUCTION MOTOR SPEED CONTROLLER

RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER

... stochastic optimization technique called fuzzy particle swarm optimization (FPSO) is presented to determine an optimum set of microstrip antenna arrays excitation weights (amplitude and ...

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IMAGE ENHANCEMENT BY PARTICLE SWARM OPTIMIZATION (PSO) TECHNIQUE

IMAGE ENHANCEMENT BY PARTICLE SWARM OPTIMIZATION (PSO) TECHNIQUE

... an optimization problem and PSO is used to solve ...an optimization problem and Particle Swarm Optimization (PSO) is used to solve ...objective particle swarm ...

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Proximinally Additive Chebychev Spaces in $L^\phi(\mu,X)$ and $L^p(\mu.X)$, 1\le p

Proximinally Additive Chebychev Spaces in $L^\phi(\mu,X)$ and $L^p(\mu.X)$, 1\le p

... optimizing technique is expected to arrive at best solution(s). Particle Swarm Optimization (PSO) is, now, a standard method of advanced optimization technique and has been ...

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Distribution System Power Losses Minimization Using Network Reconfiguration

Distribution System Power Losses Minimization Using Network Reconfiguration

... non-linear optimization problem here Modified Particle Swarm Optimization (MPSO) technique is projected for the minimization of system power ...Binary Particle Swarm ...

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Hybrid Swarm Algorithm for Multiobjective Optimal Power Flow Problem

Hybrid Swarm Algorithm for Multiobjective Optimal Power Flow Problem

... Optimal power flow problem plays a major role in the operation and planning of power systems. It assists in acquiring the optimized solution for the optimal power flow problem. It consists of several objective functions ...

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Particle swarm optimization for neural network learning enhancement

Particle swarm optimization for neural network learning enhancement

... familiar technique in NN learning is called Backpropogation (BP) ...climbing technique, it runs the risk of being trapped in local minima where every small change in synaptic weight increases the cost ...

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Optimal Reservoir Operation Using MOPSO with Time Variant Inertia and Acceleration Coefficients

Optimal Reservoir Operation Using MOPSO with Time Variant Inertia and Acceleration Coefficients

... of optimization techniques has been suggested to derive reservoir operation policies for multi-objective reservoir ...hence Optimization techniques are expected to provide balanced their ...reliable ...

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