Abstract:
Evolutionary multiobjective optimization (EMO) optimizes multi-objectives, conflicting with each other, simultaneously. In this paper, EMO has been utilized to improve a window based protocol based on two parameters, Bandwidth Delay Product (BDP) and end-to-end delay. The problem has been simulated using gamultiobj tool in the MATLAB.
Reference this Research Paper (copy & paste below code):
Amandeep Kaur, Praveen Kumar (2018); An Improvement in Window-based Protocols using Evolutionary Multi-objective Optimization;
Int J Sci Res Publ 4(6) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0614.php?rp=P302819
