hybrid particle swarm algorithm
EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... completion algorithm using a nonlinear conjugate gradient method was proposed in ...[6]. Hybrid localization algorithms were discussed in ...localization algorithm was described in [8]. A modified ...
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Hybrid Algorithm of Adaptive Inertia Weight Particle Swarm and Simulated Annealing
... the algorithm effect to some extent, but it still has some ...the algorithm might fall into local searching before finding the position of extreme ...the algorithm accuracy will ...the ...
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Hybrid of Particle Swarm Optimization, Simulated Annealing and Tabu Search for the Reconstruction of Two-Dimensional Targets from Laboratory-Controlled Data
... As it mentioned previously, the resolution of the forward problem consists in determining the scattered field by knowing the object function and the incident field. The computation of inverse solution refers to the ...
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A hybrid particle swarm evolutionary algorithm for constrained multi-objective optimization
... In multi-objective optimization, we have to find a set of solutions which is high competitive in terms of convergence, distribution, and diverse. In section 3, the infeasible elitist preservation strategy and the new ...
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Classification of Data by Hybrid Particle Swarm Optimization and Gravitational Search Algorithm
... In Decision tree based on feature values the instances are sorted and classified. In Decision tree each node contains the characteristic of instances which is needed to be classified and each branches holds a value ...
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RANDOM LINEAR NETWORK CODING BASED MULTIPATH TRAFFICS OVER HETEROGENEOUS CLOUD RADIO ACCESS NETWORK
... Discrete Particle Swarm Optimization (DPSO) by considering both makespan and total flowtime minimization as optimization criteria for solving the no-wait flowshop scheduling ...(VND) algorithm was ...
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Comparison of Hybrid Firefly Algorithms for Power Allocation in a TV White Space Network
... of hybrid firefly algorithms (FA) for power allocation in a TVWS ...are hybrid FA with genetic algorithm (GA), hybrid FA with particle swarm optimization (PSO) as well as ...
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A Hybrid Clustering Based Color Image Segmentation using Ant Colony and Particle Swarm Optimization Methods
... Ant colony optimization was introduced by Macro Dorigo and a colleague in the early 90‟s is one of the most successful strands of swarm intelligence [23]. An individual ant can only do simple tasks on its own, ...
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Optimization of Thermal Aware VLSI Non Slicing Floorplanning Using Hybrid Particle Swarm Optimization Algorithm Harmony Search Algorithm
... a hybrid Par- ticle Swarm Optimization-Harmony Search (HPSOHS) ...This hybrid algorithm employs diversification technique (PSO) to obtain global optima and intensification strategy (HS) to ...
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HAND WRITING RECOGNITION USING HYBRID PARTICLE SWARM OPTIMIZATION & BACK PROPAGATION ALGORITHM
... In this method we train Back Propagation neural network using particle Swarm optimization algorithm. Back- propagation can be applied to real image recognition problems without a complex ...
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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 ...
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A Two Phase Hybrid Particle Swarm Optimization Algorithm for Solving Permutation Flow Shop Scheduling Problem
... two-phase hybrid particle swarm optimization algorithm (PRHPSO) is proposed for the permutation flow- shop scheduling problem (PFSP) with the minimizing makespan ...PSO algorithm for ...
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A novel constraint handling approach for metaheuristic techniques in solving economic dispatch problems
... (CS) algorithm has been ...resultant hybrid algorithm is experimentally investigated using a standard test case with valve point ...as particle swarm optimization and genetic ...
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Hybrid Particle Swarm Optimization (HPSO) for Data Clustering
... with swarm based algorithms is emerging as an alter- native to more conventional clustering ...new hybrid sequential clustering approach is proposed, which uses PSO - a swarm based technique in ...
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Improved SVM Classifier Incorporating Adaptive Condensed Instances Based on Hybrid Continuous-Discrete Particle Swarm Optimization
... the hybrid particle swarm optimization (HPSO) algorithm to simultaneously optimize the condensed instances and SVM kernel parameters for the classification accuracy ...proposed hybrid ...
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Research on Task Allocation Based on Quantum Particle Swarm and Hybrid Algorithm of Cuckoo
... cuckoo algorithm and the fast and efficient local search ability of the quantum particle swarm algorithm, the framework and process of hybrid optimization, based on quantum ...
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MODELING OF BROADBAND LIGHT SOURCE FOR OPTICAL NETWORK APPLICATIONS USING FIBER NON LINEAR EFFECT
... new hybrid optimization algorithm to decrease the energy consumption, in which modified particle swarm optimization and simulated annealing are combined to find the optimal clusters based on ...
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Multibeam Antennas Array Pattern Synthesis using Hybrid Particle Swarm Optimizer with Breeding and Subpopulations Algorithm
... In recent years several global optimization algorithms have been developed for the optimization of every kind of electromagnetic problems. Global search methods present two competing goals, exploration and exploitation: ...
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Hybrid Coevolutionary Particle Swarm Optimization for Linear Variational Inequality Problems
... novel hybrid coevolutionary algorithm for solving linear variational inequality by PSO such as group search, parallel and global ...This algorithm avoids the trivial deviate operation in solving ...
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Hybrid green scheduling algorithm using genetic algorithm and particle swarm optimization algorithm in IaaS cloud
... a hybrid workflow scheduling algorithm is discussed for IaaS cloud ...the algorithm, WorkFlowSim simulator, an extension of CloudSim simulator, has been ...the hybrid algorithm gives ...
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