[PDF] Top 20 Data Classification Particle Swarm Optimization and Gravitational Search Algorithm
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Data Classification Particle Swarm Optimization and Gravitational Search Algorithm
... training data would be the root node of the ...training data such as information gain and gini ...divided data, creating sub-trees until the training data is divided into subsets of the same ... See full document
8
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
Improved particle swarm optimization and gravitational search algorithm for parameter estimation in aspartate pathways
... Accurate and complete set of parameters which describes the characteristic of the systems are critical and important as the system model need to be accurate. Nonetheless, the measurement of these parameters is costly and ... See full document
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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
A Review on Clustering Web data using PSO
... web data is growing exponentially and need to be handled ...of data is the main challenge for web ...of data we are dealing with preprocessing technologies and perform clustering on this preprocessed ... See full document
6
Dataset Watermarking Using Hybrid Optimization and ELM
... hybrid algorithm using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for selecting global datasets, classification of tuples to be watermarked by Extreme Learning ... See full document
6
Fuzzy Particle Swarm Optimization Based Feature Learning Vector
... analyzing data from the different huge amount of data to increasing the cost, revenue and useful information from the ...databases. Data mining is applied successfully in the business background, ... See full document
12
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
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... Local Search, Tabu Search, Simulated Annealing, Variable Neighborhood search, and ...Genetic algorithm, Particle swarm optimization, Ant colony optimization, ... See full document
10
EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... completion algorithm using a nonlinear conjugate gradient method was proposed in ...localization algorithm was described in [8]. A modified particle swarm optimization algorithm ... See full document
9
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
... 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
A COMPARATIVE STUDY OF PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM IN POULTRY HOUSE TEMPERATURE CONTROL SYSTEM
... Gravitational search algorithm (GSA) is a simple well known meta-heuristic search algorithm based on the law of gravity and the law of motion (Rashedi ...a swarm intelligence ... See full document
18
Classification of Data by Hybrid Particle Swarm Optimization and Gravitational Search Algorithm
... Training data is sorted by root node which holds the best feature ...preparing data for instance, information gain and gini ...distributed data, which results in the creation of sub-trees as far as ... See full document
5
Hybrid PSO-GSA for Economic Load Dispatch with Valve-Point Effects
... hybrid particle swarm optimization and gravitational search algorithm (hybrid PSO-GSA) ...this algorithm is to combine the ability of social thinking in PSO with the local ... See full document
7
Optimization of Thermal Aware VLSI Non Slicing Floorplanning Using Hybrid Particle Swarm Optimization Algorithm Harmony Search Algorithm
... free algorithm and has the advantage of escaping from local ...proposed algorithm achieves the optimal solution especially for larger number of ...The data structure of hotspot tool is modified, so ... See full document
12
Performance Enhancement for Adaptive Beam Forming Application Based Hybrid PSOGSA Algorithm
... for optimization problems for several communication ...novel algorithm based on hybrid PSOGSA technique (combination of Gravitational Search Algorithm and Particle Swarm ... See full document
8
Nature inspired metaheuristic algorithms a comparative review
... This algorithm simulates the foraging behavior of honey ...Colony Optimization (BCO) is an optimization tool which provides a population based search procedure, where the bees locate the food ... See full document
6
A Tabu Search hyper heuristic strategy for t way test suite generation
... Tabu Search as its high level meta-heuristic and leverages on the strength of four low level meta-heuristics, comprising of Teaching Learning Based Optimization, Global Neighborhood Algorithm, ... See full document
30
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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