[PDF] Top 20 Enhanced Particle Swarm Optimization Based Local Search for Reactive Power Compensation Problem
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Enhanced Particle Swarm Optimization Based Local Search for Reactive Power Compensation Problem
... The reactive power compensation problem formulated as multiobjective optimization problem with competing amount of reactive compensation devices, active ... See full document
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Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO) Algorithm for Solving Optimal Reactive Power Dispatch Problem
... specific problem is called an individual or a chromosome and consists of a linear list of ...its search from a randomly generated population of designs that evolve over successive generations (iterations), ... See full document
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Adaptive Bacterial Foraging Oriented Particle Swarm Optimization Algorithm for Solving Optimal Reactive Power Dispatch Problem
... The reactive power support and voltage problems are intrinsically ...the reactive power dispatch as a multi-objective optimization problem with loss minimization and maximization ... See full document
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Optimal Power Flow By Particle Swarm Optimization For Reactive Loss Minimization
... Optimal Power Flow (OPF) problem in electrical power system is considered as a static, non-linear, multi-objective or a single objective optimization ...the power industrial companies ... See full document
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Particle Swarm Optimization Algorithm Based Reactive Power Optimization in Distribution Network
... of power loss is the first priority of the power ...Generally power loss is directly proportional to the reactive power demand and minimization of this is known as reactive ... See full document
5
Reactive Power Optimization Based on Parallel Immune Particle Swarm Optimization
... Abstract—Reactive power optimization is important to ensure power quality, improve system security, and reduce active power ...immune particle swarm optimization ... See full document
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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique
... high search speed but they are failed to solve such problem because they have the drawbacks of Multiple local minimum points in the cost function, Algorithms require that characteristics be ... See full document
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EFFICIENT REQUIREMENT PRIORITIZATION BASED ON ENHANCED MULTI VERSE OPTIMIZER
... varying particle swarm optimization and genetic algorithm method (TVPSOGA) was introduced to solve multi-objective reactive power dispatch (MORPD) ...multi-objective optimization ... See full document
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Hybrid Big Bang - Big Crunch Algorithm for Optimal Reactive Power Dispatch by Loss and Voltage Deviation Minimization
... optimizing reactive power dispatch (ORPD). ORPD problem is a multi-constrained, multi-objective problem involving both continuous and discrete control ...efficient optimization ... See full document
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Reactive Power Dispatch Problem using Particle Swarm Optimization Algorithm
... the reactive power dispatch problem of large-scale power systems ...original reactive power dispatch problem does have these ...heuristic search techniques have ... See full document
6
Particle Swarm Optimization: Technique, System and Challenges
... of particle swarm optimization (PSO) has been growing ...or swarm, such as bird flocking and fish ...society. Particle swarm optimization consists of a swarm of ... See full document
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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 ... See full document
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A Solution to Economic Dispatch Problem Using Augmented lagrangian Particle Swarm Optimization
... of power system, and several models by using different techniques have been used to solve these ...lagrangian Particle Swarm Optimization (ALPSO) in particular to the economic load dispatch ... See full document
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Meta Heuristics Algorithms: A Survey
... second power of the length between them from this perspective GSA is inspired based on the law of gravity and laws of motion ...complex optimization system problems ...complex optimization ... See full document
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OPTIMIZATION OF MULTI-OBJECTVE FACILITY LAYOUT USING NON-TRADITIONAL OPTIMIZATION TECHNIQUE
... the optimization of multi stage decision problems. This type of problem focus on the dynamic case or the problem of facility layout over time ...The problem is broken into sub-problems or ... See full document
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Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... variable number of iteration, we set predefined optimum value for all benchmark test functions, and maximum speedup were 10.9, 62.91, and 27.63 for TPSO, APSO, and ALC-PSO algorithms, respectively. In fixed number of ... See full document
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FRAUD DETECTION IN CARD NOT PRESENT TRANSACTIONS BASED ON BEHAVIORAL PATTERN
... This is a searching technique developed for optimal sitting and sizing of DG. The problem consists of two parts. The first is the optimal location of DG and the second is the optimal sizing. Result for the first ... See full document
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Local search particle swarm optimization algorithm channel estimation based on mc cdma system
... of local search (LS), where it intends to explore the area less crowded in the current archive perhaps to get more non-dominated ...amended local search scheme MLS is provided, which is a ... See full document
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SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION
... visited position for the particle is p ibest ( p i 1 , p i 2 ,....... p id ) and also the best position explored. The best value so far is global best i.e., p gbest ( p g 1 , p g 2 ,....... p gd ) [ Yong Wang ... See full document
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Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
... value, particle count, iteration, acceleration weight, and ...time. Based on the tests that have been done the large number of parameters does not always result in a good amount of fitness as ... See full document
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