A novel approach on Particle Agent Swarm Optimization (PASO) in semantic mining for web page recommender system of multimedia data: a health care perspective

2019 ◽  
Vol 79 (5-6) ◽  
pp. 3807-3829 ◽  
Author(s):  
R. Manikandan ◽  
V. Saravanan
Keyword(s):  
Health Care ◽  
Recommender System ◽  
Multimedia Data ◽  
Web Page ◽  
Swarm Optimization ◽  
Semantic Mining ◽  
Novel Approach

scholarly journals Improvement of Traveling Salesman Problem Solution Using Hybrid Algorithm Based on Best-Worst Ant System and Particle Swarm Optimization

2021 ◽  
Vol 11 (11) ◽  
pp. 4780
Author(s):  
Muhammad Salman Qamar ◽  
Shanshan Tu ◽  
Farman Ali ◽  
Ammar Armghan ◽  
Muhammad Fahad Munir ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Traveling Salesman Problem ◽  
Particle Swarm ◽  
Standard Test ◽  
Traveling Salesman ◽  
Problem Solution ◽  
Ant System ◽  
Swarm Optimization ◽  
Hybrid Particle Swarm Optimization ◽  
Novel Approach

This work presents a novel Best-Worst Ant System (BWAS) based algorithm to settle the Traveling Salesman Problem (TSP). The researchers has been involved in ordinary Ant Colony Optimization (ACO) technique for TSP due to its versatile and easily adaptable nature. However, additional potential improvement in the arrangement way decrease is yet possible in this approach. In this paper BWAS based incorporated arrangement as a high level type of ACO to upgrade the exhibition of the TSP arrangement is proposed. In addition, a novel approach, based on hybrid Particle Swarm Optimization (PSO) and ACO (BWAS) has also been introduced in this work. The presentation measurements of arrangement quality and assembly time have been utilized in this work and proposed algorithm is tried against various standard test sets to examine the upgrade in search capacity. The outcomes for TSP arrangement show that initial trail setup for the best particle can result in shortening the accumulated process of the optimization by a considerable amount. The exhibition of the mathematical test shows the viability of the proposed calculation over regular ACO and PSO-ACO based strategies.

A novel identification approach for shearer running status through integration of rough sets and improved wavelet neural network

2016 ◽  
Vol 230 (16) ◽  
pp. 2792-2805 ◽  
Author(s):  
Lei Si ◽  
Zhongbin Wang ◽  
Xinhua Liu
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Rough Sets ◽  
Particle Swarm Optimization Algorithm ◽  
Wavelet Neural Network ◽  
Decision Table ◽  
Swarm Optimization ◽  
Novel Approach ◽  
Identification Approach ◽  
Simulation Results

In order to accurately and conveniently identify the shearer running status, a novel approach based on the integration of rough sets (RS) and improved wavelet neural network (WNN) was proposed. The decision table of RS was discretized through genetic algorithm and the attribution reduction was realized by MIBARK algorithm to simply the samples of WNN. Furthermore, an improved particle swarm optimization algorithm was proposed to optimize the parameters of WNN and the flowchart of proposed approach was designed. Then, a simulation example was provided and some comparisons with other methods were carried out. The simulation results indicated that the proposed approach was feasible and outperforming others. Finally, an industrial application example of mining automation production was demonstrated to verify the effect of proposed system.

A novel approach for effective web page classification

2013 ◽  
Vol 5 (3) ◽  
pp. 233 ◽  
Author(s):  
J. Alamelu Mangai ◽  
V. Santhosh Kumar ◽  
S. Appavu Balamurugan
Keyword(s):  
Web Page ◽  
Web Page Classification ◽  
Novel Approach ◽  
Page Classification

A novel approach for Web page modeling in personal information extraction

2018 ◽  
Vol 22 (2) ◽  
pp. 603-620
Author(s):  
Wei Yuliang ◽  
Zhou Qi ◽  
Lv Fang ◽  
Han Xixian ◽  
Xin Guodong ◽  
...  
Keyword(s):  
Information Extraction ◽  
Personal Information ◽  
Web Page ◽  
Novel Approach
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