Hybrid Particle Swarm
Multibeam Antennas Array Pattern Synthesis using Hybrid Particle Swarm Optimizer with Breeding and Subpopulations Algorithm
... Recently, particle swarm optimization algorithm (PSO) is proposed for solving global numerical optimization ...technique, hybrid particle swarm optimiser with breeding and subpopulation ...
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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... A hybrid Particle Swarm Optimization – Variable Neighborhood Search algorithm for Constrained Shortest Path ...New Hybrid MGBPSO-GSA Variant for Improv- ing Function Optimization Solution in ...
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HAND WRITING RECOGNITION USING HYBRID PARTICLE SWARM OPTIMIZATION & BACK PROPAGATION ALGORITHM
... efficient Hybrid Particle Swarm Optimization and Back propagation algorithm to enhance the performance of Artificial Neural Network for Hand Writing Recognition by means of optimizing ANN ...
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Hybrid Particle Swarm Optimization Methods for Solving Transient-Stability Constrained Optimal Power Flow Problems
... paper, hybrid particle swarm optimization (PSO) is proposed for solving the challenging multi-contingency transient stability constrained optimal power flow (MC-TSCOPF) ...for hybrid PSO to ...
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Improve Hybrid Particle Swarm Optimization and K-Means for Clustering
... Abstract. This research was conducted in Batu city, by classifying land based on land suitability for potato crops. Batu city is a hilly area with a high land slope so that there is a high potential for land degradation. ...
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Hybrid Particle Swarm Optimization (HPSO) for Data Clustering
... Particle Swarm Optimization (PSO) was firstly developed by Eber- hart and Kennedy in 1995 which is a population based stochastic optimization ...The particle changes its position with ...each ...
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A REVIEW ON ENERGY AWARE RESOURCE MANAGEMENT THROUGH DECENTRALIZED AND BALANCED WORKLOAD IN CLOUD COMPUTING
... The workflow scheduling under cloud computing is considered as a time-cost optimization problem and Quality of Service (QoS)-based hybrid particle swarm optimization (GHPSO) is used to schedule ...
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RANDOM LINEAR NETWORK CODING BASED MULTIPATH TRAFFICS OVER HETEROGENEOUS CLOUD RADIO ACCESS NETWORK
... effective hybrid Particle Swarm Optimization algorithm for solving no wait flow shop scheduling problem with the objective of minimization of ...Proposed Hybrid Particle Swarm ...
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Vol 3, No 1 (2017)
... Intelligent Hybrid Algorithm for Job-Shop Scheduling Based on Particle Swarm Optimization and Artificial Immune System”, Advances in Soft Computing , Volume 41, ...“A hybrid particle ...
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Performance Enhancement for Adaptive Beam Forming Application Based Hybrid PSOGSA Algorithm
... on Hybrid Particle Swarm Optimization with Gravitational Search Algorithm (Hybrid PSOGSA) technique was proposed and showed better performance than standard PSO and GSA in terms of ...
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Multimodal Score-Level Fusion Using Hybrid GA-PSO for Multibiometric System
... a hybrid GA-PSO approach to combining biometric modalities at the score ...the hybrid is to optimize the weights associated with the fused modalities to reach optimum EER ...the hybrid is compared to ...
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Study on the optimization algorithm of sediment particle Imshanage
... sediment particle image is the main bottleneck restricting river sediment image segmentation algorithm to ...basic particle swarm optimization (PSO) algorithm, a modified particle swarm ...
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Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO) Algorithm for Solving Optimal Reactive Power Dispatch Problem
... V. H YBRID OF GA AND PSO (HGAPSO) Although GAs have been successfully applied to a wide spectrum of problems, using GAs for large-scale optimization could be very expensive due to its requirement of a large number of ...
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Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction
... Conversely, particle swarm optimization is advantageous because it can solve the problem of optimization and can be used to improve the performance of fuzzy systems by adjusting the membership function and ...
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Empirical Analysis on Evolutionary Population Based Novel Technique Hybrid PSODavinder Singh, Sarbjeet Singh, Kapil Kumar, G N Verma
... and Particle Swarm Optimization. Hybrid Differential Evolution Particle Swarm Optimization (DEPSO) gives accurate optimum solutions by increasing the solution space and Extremal ...
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AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH USING NCRR SIMILARITY MEASURE
... compared swarm intelligence based algorithm, namely biogeography based optimization (BBO) algorithm over 16 different benchmark functions and proved that Fitness based GSA is competitive variant of the ...
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Dataset Watermarking Using Hybrid Optimization and ELM
... The hybrid optimization for dataset watermarking is performed with PSO & GA. Genetic algorithm(GA) is one of the recognized powerful techniques for optimization and global search problems. It was originated ...
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Hybrid Differential Evolution and Particle Swarm Optimization Based Solutions for Economic Load Dispatch Problem
... a hybrid differential evolution and a particle swarm optimization based algorithms are proposed for solving the problem of scheduling the economic dispatch ...
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A Novel PSO Algorithm Model Based on Population Migration Strategy and its Application
... From Table 2, It is easy to see that there are higher convergence accuracy and success rate for PM-CPSO than that for PSO, AM-PSO, AF-PSO, SM-PSO, from the mean and deviation in Table 2, PM-CPSO has a better stability ...
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Hybrid Coevolutionary Particle Swarm Optimization for Linear Variational Inequality Problems
... (b) A key feature of PSO algorithms is social sharing information among the neighborhood. Therefore, various information sharing mechanisms were proposed to improve the performance. Kennedy [15] investigated the impacts ...
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