Design and Implementation of a Hybrid Intelligent System Based on Particle Swarm Optimization and Distributed Genetic Algorithm

被引：33

作者：

Barolli, Admir ^{[1
]}

Sakamoto, Shinji ^{[2
]}

Ozera, Kosuke ^{[2
]}

Barolli, Leonard ^{[3
]}

Kulla, Elis ^{[4
]}

Takizawa, Makoto ^{[5
]}

机构：

[1] Aleksander Moisiu Univ Durres, Dept Informat Technol, L-1 Rruga & Currilave, Durres, Albania

[2] Fukuoka Inst Technol, Grad Sch Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka, Fukuoka 8110295, Japan

[3] Fukuoka Inst Technol, Dept Informat & Commun Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka, Fukuoka 8110295, Japan

[4] Okayama Univ Sci, Dept Informat & Comp Engn, Kita Ku, 1-1 Ridai Cho, Okayama 7000005, Japan

[5] Hosei Univ, Fac Sci & Engn, Dept Adv Sci, Kajino Machi, Koganei, Tokyo 1848584, Japan

来源：

ADVANCES IN INTERNET, DATA & WEB TECHNOLOGIES | 2018年 / 17卷

关键词：

WIRELESS MESH NETWORKS; NODE PLACEMENT PROBLEM; PERFORMANCE EVALUATION; SIMULATION SYSTEM; WMN-SA; AD-HOC; TEMPERATURE;

D O I：

10.1007/978-3-319-75928-9_7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wireless Mesh Networks (WMNs) have many advantages such as low cost and increased high speed wireless Internet connectivity, therefore WMNs are becoming an important networking infrastructure. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. In this paper, we implement a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. We evaluate WMN-PSODGA by computer simulations. The simulation results show that the WMN-PSODGA has good performance when the number of GA islands is 64.

引用

页码：79 / 93

页数：15

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