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.