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[PDF] Top 20 EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things

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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things

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 ... See full document

9

An Enhanced Algorithm for Floorplan Design Using Hybrid Ant Colony and Particle Swarm Optimization

An Enhanced Algorithm for Floorplan Design Using Hybrid Ant Colony and Particle Swarm Optimization

... ‘A hybrid ACO/PSO based algorithm for QoS multicast routing problem’ mentioned that many internet multicast applications such as videoconferencing, distance education, and online simulation require ... See full document

7

Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO) Algorithm for Solving Optimal Reactive Power Dispatch Problem

Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO) Algorithm for Solving Optimal Reactive Power Dispatch Problem

... these enhanced elites as parents, the generated offspring will achieve better performance than those bred by original elites ...the algorithm as shown below: ... See full document

7

Efficient Dynamic Economic Load Dispatch Using Parallel Process of Enhanced Optimization Approach

Efficient Dynamic Economic Load Dispatch Using Parallel Process of Enhanced Optimization Approach

... a hybrid algorithm con- sisting of Genetic Algorithm (GA), Pattern Search (PS) and Sequential Quadratic Programming (SQP) tech- ...the algorithm and PS, SQP is used to fine tune the results of ... See full document

12

Combined Emission and Economic Dispatch Problems using Hybrid of Particle Swarm and Teaching Learning based Optimizations

Combined Emission and Economic Dispatch Problems using Hybrid of Particle Swarm and Teaching Learning based Optimizations

... provides Hybrid optimization based on the particles of swarm and teaching learning to solve the four-case problem of the combined economic emission of load ...proposed algorithm has a better ... See full document

8

HAND WRITING RECOGNITION USING
HYBRID PARTICLE SWARM
OPTIMIZATION & BACK PROPAGATION
ALGORITHM

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 ... See full document

7

Comparison of Hybrid Firefly Algorithms for Power Allocation in a TV White Space Network

Comparison of Hybrid Firefly Algorithms for Power Allocation in a TV White Space Network

... of hybrid firefly algorithm, particle swarm optimization and genetic algorithm (FAGAPSO) for power allocation in a TVWS ...The hybrid algorithm takes into ... See full document

7

Vol 3, No 1 (2017)

Vol 3, No 1 (2017)

... In addition to classical methods enshrined in scheduling, new tools have already been proposed based on other algorithms that provide an optimization of certain terms that characterize the production (total time ... See full document

6

A Hybrid Clustering Approach using Artificial Bee Colony (ABC) and Particle Swarm Optimization

A Hybrid Clustering Approach using Artificial Bee Colony (ABC) and Particle Swarm Optimization

... a hybrid model of PSABC algorithm. The PSABC algorithm is a combination of Particle Swarm Algorithm (PSO) and Artificial Bee Colony (ABC) Algorithm used for data ... See full document

6

Modeling medical doctor rostering using hybrid genetic algorithm-particle swarm optimization

Modeling medical doctor rostering using hybrid genetic algorithm-particle swarm optimization

... study, hybrid method that combines GA and PSO algorithm is developed to satisfy the hard and soft constraints for the medical doctor duty ...using Hybrid GA-PSO in this study is that Hybrid ... See full document

40

Multi objective Network Reconfiguration of Distribution systems with Distributed Generators

Multi objective Network Reconfiguration of Distribution systems with Distributed Generators

... an algorithm based on modified discrete particle swarm algorithm (MDPSO) and modified particle swarm optimization (MPSO) is proposed to find the optimal network ... See full document

8

A Hybrid Clustering Based Color Image Segmentation using Ant Colony and Particle Swarm Optimization Methods

A Hybrid Clustering Based Color Image Segmentation using Ant Colony and Particle Swarm Optimization Methods

... RGB color space and Otsu method is used to realize an image, one need to isolate the objects in it and have to find relation among them [14]. An effort is made to defeat the problems encountered while segmenting an ... See full document

7

A Modified Iterated Greedy Algorithm for Flexible Job Shop Scheduling Problem

A Modified Iterated Greedy Algorithm for Flexible Job Shop Scheduling Problem

... According to this definition, we can consider that the main difference between flexible job shop schedul- ing problem and job shop scheduling problem (JSP) is that flexible job shop problem dictates operation flex- ... See full document

11

RANDOM LINEAR NETWORK CODING BASED MULTIPATH TRAFFICS OVER HETEROGENEOUS CLOUD 
RADIO ACCESS NETWORK

RANDOM LINEAR NETWORK CODING BASED MULTIPATH TRAFFICS OVER HETEROGENEOUS CLOUD RADIO ACCESS NETWORK

... efficient algorithm for solving this problem has been done by most of the researchers (Pan et ...proposed algorithm with algorithms developed by researchers Pan et ...efficient algorithm which can ... See full document

12

An Efficient Hybrid Comparative Study Based on ACO, PSO, K Means With K Medoids for Cluster Analysis

An Efficient Hybrid Comparative Study Based on ACO, PSO, K Means With K Medoids for Cluster Analysis

... the optimization of nonlinear functions using particle swarm ...between particle swarm optimization and artificial life and genetic algorithms are described; Particle ... See full document

7

Hybrid of Particle Swarm Optimization, Simulated Annealing and Tabu Search for the Reconstruction of Two-Dimensional Targets from Laboratory-Controlled Data

Hybrid of Particle Swarm Optimization, Simulated Annealing and Tabu Search for the Reconstruction of Two-Dimensional Targets from Laboratory-Controlled Data

... global optimization problem and is solved by the application of a hybrid particle swarm ...the hybrid algorithm is used to minimize the following cost ... See full document

18

AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH 
USING NCRR SIMILARITY MEASURE

AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH USING NCRR SIMILARITY MEASURE

... based algorithm is validated for its effectiveness with respect to the earlier methods proposed in the literature and the performance comparison is ...novel hybrid optimisation algorithm named, the ... See full document

10

FRAUD DETECTION IN CARD NOT PRESENT TRANSACTIONS BASED ON BEHAVIORAL PATTERN

FRAUD DETECTION IN CARD NOT PRESENT TRANSACTIONS BASED ON BEHAVIORAL PATTERN

... Researchers focus on heuristic techniques that seek a good solution to a complex combinatorial problem within a reasonable time. Singh et al. [12] unlike other studies which dealt with the constant load models have ... See full document

8

Synchronous generator parameters identification on line using small population based particle swarm optimization

Synchronous generator parameters identification on line using small population based particle swarm optimization

... DE-acceleration operation. In the PSO, the particles optimization is enforced by changing the flight direction and velocity of the particles. It is an inefficient job. The adoption of mutation operation has no ... See full document

7

MODELING OF BROADBAND LIGHT SOURCE FOR OPTICAL NETWORK APPLICATIONS USING FIBER 
NON LINEAR EFFECT

MODELING OF BROADBAND LIGHT SOURCE FOR OPTICAL NETWORK APPLICATIONS USING FIBER NON LINEAR EFFECT

... MPSO is one of the most reliable algorithms for finding the global optima but it has disadvantages concerning local optima search. In order to remedy the later, SA, which has a strong ability for finding the local ... See full document

7

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