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[PDF] Top 20 Classification of Data by Hybrid Particle Swarm Optimization and Gravitational Search Algorithm

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Classification of Data by Hybrid Particle Swarm Optimization and Gravitational Search Algorithm

Classification of Data by Hybrid Particle Swarm Optimization and Gravitational Search Algorithm

... descent optimization (a method for minimizing an objective function that is written as a sum of differentiable ...perceptron algorithm. The basic concept of perceptron algorithm is to determine a ... See full document

5

Data Classification Particle Swarm Optimization and Gravitational Search Algorithm

Data Classification Particle Swarm Optimization and Gravitational Search Algorithm

... Abstract: Classification is an important problem in data ...learning, classification has been studied extensively by the AI community as a possible solution to the “knowledge acquisition” or ... See full document

8

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

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 ... See full document

9

Performance Enhancement for Adaptive Beam Forming Application Based Hybrid PSOGSA Algorithm

Performance Enhancement for Adaptive Beam Forming Application Based Hybrid PSOGSA Algorithm

... Recently, Gravitational Search Algorithm (GSA) is considered as a new optimization technique based on the law of gravity and mass interaction ...signal classification (MUSIC) in terms ... See full document

8

A Review on Clustering Web data using PSO

A Review on Clustering Web data using PSO

... dynamic data, the resources on the web are greatly scattered and they have no unified management and ...web data is unstructured and needed to be structure as it greatly reduces the efficiency in using web ... See full document

6

Dataset Watermarking Using Hybrid Optimization          and ELM

Dataset Watermarking Using Hybrid Optimization and ELM

... with hybrid algorithm using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for selecting global datasets, classification of tuples to be watermarked by ... See full document

6

Optimization of Thermal Aware VLSI Non Slicing Floorplanning Using Hybrid Particle Swarm Optimization Algorithm Harmony Search Algorithm

Optimization of Thermal Aware VLSI Non Slicing Floorplanning Using Hybrid Particle Swarm Optimization Algorithm Harmony Search Algorithm

... Memetic Algorithm (MA) [18] for a non-slicing VLSI floorplanning problem is ...genetic search method to explore the search space and an efficient local search method to exploit information in ... See full document

12

Online Full Text

Online Full Text

... cluster data within multi-dimensional space and obtained the outstanding ...simplex search method with PSO, the rationale behind it being that such a hybrid approach will enjoy the merits of both PSO ... See full document

6

Hybrid of Ant Colony Optimization and Gravitational Emulation Based Load Balancing Strategy in Cloud Computing

Hybrid of Ant Colony Optimization and Gravitational Emulation Based Load Balancing Strategy in Cloud Computing

... Particle Swarm Optimization (PSO) and Gravitational Emulation based Hybrid approach has been presented by Rakshanda ...PSO-GEL algorithm. The mechanism of PSO is inspired by ... See full document

5

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

... combinatorial optimization problems, during the last years, the attention of researchers has shifted to consider another type of high level algorithms, namely hybrid ...that search for an extremum of ... See full document

18

Improved particle swarm optimization and gravitational search algorithm for parameter estimation in aspartate pathways

Improved particle swarm optimization and gravitational search algorithm for parameter estimation in aspartate pathways

... Pham, D. T., & Castellani, M. (2009). The Bees Algorithm: modelling foraging behaviour to solve continuous optimization problems. Proceedings of the Institution of Mechanical Engineers, Part C: Journal ... See full document

35

Comparative Analysis of Meta-Heuristic Algorithms based on their Application Areas in SRGM

Comparative Analysis of Meta-Heuristic Algorithms based on their Application Areas in SRGM

... every particle have the knowledge about the best evaluation of the group and further two other variations of LBEST were evaluated in which one with a neighbourhood of 6 and other in ...the particle can move ... See full document

7

Design and Development of Grey Wolf Optimization Algorithm to Solve Economic Dispatch Problem

Design and Development of Grey Wolf Optimization Algorithm to Solve Economic Dispatch Problem

... as Hybrid PSO (HPSO), PSO-ANFIS [5] and Gaussian and Chaotic PSO ...various optimization techniques is proposed to solve the economic load dispatch ...Ant Swarm Optimization (CASO), Bacteria ... See full document

9

SOLVING ECONOMIC DISPATCH PROBLEM USING PARTICLE SWARM OPTIMIZATION BY AN 
EVOLUTIONARY TECHNIQUE FOR INITIALIZING PARTICLES

SOLVING ECONOMIC DISPATCH PROBLEM USING PARTICLE SWARM OPTIMIZATION BY AN EVOLUTIONARY TECHNIQUE FOR INITIALIZING PARTICLES

... Particle swarm optimization (PSO), proposed by Kennedy and Eberhart [5-6] in 1995 is a new, self- adaptive global optimization algorithm based on the swarm behavior of birds and ... See full document

5

Novel model of particle swarm optimization for data mining based on improved ant colony algorithm

Novel model of particle swarm optimization for data mining based on improved ant colony algorithm

... as search particles have no mass and volume of space in the D dimension (particle), each particle to a certain speed in the solution space to move, and gather to the best position the history of ... See full document

8

Study on the optimization algorithm of sediment particle Imshanage

Study on the optimization algorithm of sediment particle Imshanage

... sediment particle image is the main bottleneck restricting river sediment image segmentation algorithm to ...the data of basic particle swarm optimization (PSO) algorithm, ... See full document

10

Research on use of Nature Inspired Algorithms in Software Testing

Research on use of Nature Inspired Algorithms in Software Testing

... using data flow ...PSO algorithm, called Discrete Quantum Particle Swarm Optimization (QPSO), to generate test cases automatically for three benchmark programs ...Genetic ... See full document

7

Hybrid PSO-GSA for Economic Load Dispatch with Valve-Point Effects

Hybrid PSO-GSA for Economic Load Dispatch with Valve-Point Effects

... stochastic algorithm which can be applied to a nonlinear optimization ...the particle and group best solutions are trapped into local minimums during the search ...the gravitational ... See full document

7

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

... stochastic search algorithm named Gravitational Search Algorithm ...This algorithm is inspired by the gravitational ...compared swarm intelligence based ... See full document

10

Hybrid Particle Swarm Optimization (HPSO) for Data Clustering

Hybrid Particle Swarm Optimization (HPSO) for Data Clustering

... each particle moves in search space and keeps the best position it has ...PSO algorithm stops either when maximum number of function evaluations has been reached or when there is no significant ... See full document

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