Investigation of Fitness Function Weight-Coefficients for Optimization in WMN-PSO Simulation System-Reference-Cited by-同舟云学术

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Investigation of Fitness Function Weight-Coefficients for Optimization in WMN-PSO Simulation System

Published:2016-07 Issue: Volume: Page:
ISSN:
Container-title:2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)
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Author:

Sakamoto Shinji,Oda Tetsuya,Ikeda Makoto,Barolli Leonard,Xhafa Fatos,Woungang Isaac

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7791098/7791812/07791888.pdf?arnumber=7791888

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Implementation of a Cuckoo Search intelligent simulation system for node placement problem in Wireless Mesh Networks: Performance evaluation for tuning hyperparameters Pa and γ;Internet of Things;2024-10

2. Prediction of the splitting tensile strength of the bonding interface by combining the support vector machine with the particle swarm optimization algorithm;Engineering Structures;2021-03

3. Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Inertia Weight Methods;Advances in Network-Based Information Systems;2017-08-24

4. Performance Evaluation of Intelligent Hybrid Systems for Node Placement in Wireless Mesh Networks: A Comparison Study of WMN-PSOHC and WMN-PSOSA;Innovative Mobile and Internet Services in Ubiquitous Computing;2017-07-05

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