[PDF] Top 20 Influencia de la conducta social en el desarrollo de las emociones secundarias
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Reliable Distribution Feeder Reconfiguration Containing Distributed Generation using Particle Swarm Optimization Algorithm
... the distribution network by DFR ...losses using DC load flow ...radial distribution power flow method to determine radial configuration with minimum active power ...heuristic algorithm to ... See full document
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Distributed Generation Placement in Distribution Network using Selective Particle Swarm Optimization
... in distribution network, a multi objective performance index (MOPI) under several operating limits through Chaotic Artificial Bee Colony (CABC) has been introduced in ...Search Algorithm (HSA) ...network ... See full document
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Network reconfiguration for loss reduction with distributed generations using PSO
... on Particle Swarm Optimization (PSO) to identify the switching operation plan for feeder reconfiguration and optimum value of DG size ...the distribution constraints. A method ... See full document
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Distribution network reconfiguration (DNR) and distribution generation (DG) sizing simultaneously based on rank evolutionary particle swarm optimization (REPSO)
... electrical distribution systems their main operation is in radial configuration with two common types of switches that are sectionalizing-switches that remain normally closed, and tie-switches that remain normally ... See full document
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Nature Inspired Range Based Wireless Sensor Node Localization Algorithms
... an optimization problem and thus can be approached with optimization ...pollination algorithm (FPA), Firefly algorithm (FA), Grey Wolf Optimization (GWO) and Particle ... See full document
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DG Placement and Penetration under Standard Market Design using GA and PSO
... other optimization algorithm, by defining the optimization variables, the cost function, and the ...other optimization algorithms too, by testing for ...this algorithm is quite ... See full document
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Particle Swarm Optimization Based Optimal Reactive Power Dispatch for Power Distribution Network with Distributed Generation
... Not all DG technology is suitable to control reactive power continuously. For an example, DG from intermittent resources such as Photovoltaic is not reliable because the required services probably cannot be ... See full document
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Optimal Network Reconfiguration and Distributed Generation Placement in Distribution System Using a Hybrid Algorithm
... hybrid algorithm is an algorithm that combines two or more other algorithms that solve the same problem, either choosing one (depending on the data), or switching between them over the course of the ... See full document
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Modelling and Tuning of DPFC using Optimization Techniques
... provides reliable operation of system with low cost. PSO and DE optimization techniques are used to optimize the controller parameters which is designed using r and λ control ...PSO algorithm ... See full document
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Combined Emission and Economic Dispatch Problems using Hybrid of Particle Swarm and Teaching Learning based Optimizations
... By simulating the teaching and learning method it achieves improvement. This technique is incredibly easy as a result of having just one parameter that's the amount of learners and having the good performance and less ... See full document
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Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness
... fish swarm algorithm, self-adaptive particle swarm optimization algorithm and cloud adaptive particle swarm optimization algorithm into sub-carrier ... See full document
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Introduction To Swarm Intelligence And Its Application In Optimisation
... • Computational Swarm Intelligence Paradigms • Optimization Problems and Algorithm Classes • Formal Definitions of Optimization Problem Classes Topic 5: Using Particle Swarm Optimization[r] ... See full document
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A Review on Particle Swarm Optimization for Distributed Generation Placement and Sizing
... PSO/GA algorithm to minimize the network power loss, better voltage regulation, and improve voltage stability ...Adaptive Particle Swarm Optimization (FAPSO) gives the optimal solution after ... See full document
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Siting & Sizing of Dg for Power Loss & Thd Reduction, Voltage Improvement Using Pso & Sensitivity Analysis
... (HPF) algorithm is said to be run in order to determine the amount of harmonics present at each and every bus in the test ...HPF algorithm is initially made run on the test system before any installation of ... See full document
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Research on use of Nature Inspired Algorithms in Software Testing
... the generation of test suite for structural testing using data flow ...achieved using GA algorithm. Using an empirical study of results achieved after experiments, a conclusion is ... See full document
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Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm
... chaotic particle swarm optimization algorithm proposed in the paper got rid of the shortcomings that the PSO was easy to fall into of the local extreme point, while it kept the rapidity in ... See full document
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A New Fuzzy based Evolutionary Optimization for Job Scheduling with TLBO
... H.Liu, A.Abraham, A.E.Hassanien, Scheduling Jobs on computational grids using a fuzzy particle swarm optimization algorithm, Future Generation Computer Systems 2009... Ch.SrinivasaRao, B[r] ... See full document
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Optimal Reconfiguration of Solar Photovoltaic Arrays Using a Fast Parallelized Particle Swarm Optimization in Confront of Partial Shading
... According to the IEA’s renewable 2018 market analysis and forecast report, the penetration of renewable energy in the electricity sector is steadily increasing. In the meantime, solar energy is attracting much attention, ... See full document
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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 ... See full document
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Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... TPSO algorithm in terms of convergence speed, global optimality and solution accuracy, they are more computational intensive than TPSO ...GPU-TPSO algorithm in all ...APSO algorithm. There are much ... See full document
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