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

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

doi:10.1109/cisis.2016.55

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

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

Abstract: UPCommonsPortal del coneixement obert de la UPC http://upcommons.upc.edu/e-prints Sakamoto, S. [et al.]

Cited by 4 publications

References 33 publications

Performance Evaluation of Intelligent Hybrid Systems for Node Placement in Wireless Mesh Networks: A Comparison Study of WMN-PSOHC and WMN-PSOSA

Performance Evaluation of Intelligent Hybrid Systems for Node Placement in Wireless Mesh Networks: A Comparison Study of WMN-PSOHC and WMN-PSOSA

Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Inertia Weight Methods

Prediction of the splitting tensile strength of the bonding interface by combining the support vector machine with the particle swarm optimization algorithm

Contact Info

Product

Resources

About