Paper Info
Title
Implementation Of A Web Interface For Hybrid Intelligent Systems A Comparison Study Of Two Hybrid Intelligent Systems
Abstract
Purpose The purpose of this paper is to implement a Web interface for hybrid intelligent systems. Using the implemented Web interface, this paper evaluates two hybrid intelligent systems based on particle swarm optimization, hill climbing and distributed genetic algorithm to solve the node placement problem in wireless mesh networks (WMNs). Design/methodology/approach The node placement problem in WMNs is well-known to be a computationally hard problem. Therefore, the authors use intelligent algorithms to solve this problem. The implemented systems are intelligent systems based on meta-heuristics algorithms: Particle Swarm Optimization (PSO), Hill Climbing (HC) and Distributed Genetic Algorithm (DGA). The authors implement two hybrid intelligent systems: WMN-PSODGA and WMN-PSOHC-DGA. Findings The authors carried out simulations using the implemented Web interface. From the simulations results, it was found that the WMN-PSOHC-DGA system has a better performance compared with the WMN-PSODGA system. Originality/value In this research work, the authors implemented a Web interface for hybrid intelligent systems. The implemented interface can be extended for other metaheuristic algorithms.
Year
DOI
Venue
2019
10.1108/IJWIS-10-2018-0071
INTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS
Keywords
DocType
Volume
Particle swarm optimization, Distributed genetic algorithm, Hill climbing, Hybrid intelligent system, Web interface, Wireless mesh networks
Journal
15
Issue
ISSN
Citations 
4
1744-0084
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Shinji Sakamoto135641.07
Admir Barolli227550.30
Leonard Barolli32178333.62
Shusuke Okamoto46528.98