Today there is a need for high speed and efficient data transmission over the communication channels. It is a challenging task for the engineers and scientist to provide a reliable communication service by utilizing the available resources effectively in-spite many factors that distort the signal. The main objective of the digital communication system is to transmit symbols with minimum errors. During this process the transmitted data is distorted, due to the effects of linear and nonlinear distortions. Linear distortion includes inter-symbol interference (ISI), co-channel interference (CCI) in the presence of additive noise. Nonlinear distortions are caused due to the subsystem like amplifiers, modulator and demodulator along with nature of the medium. For removing these distortions different types of techniques are developed. In this paper we have to discuss some nonlinear techniques like genetic algorithm and Particle swarm optimization (PSO) algorithm & compared it. Here we use transfer function method for making these algorithm become more effective.

Full text: IJEIR_891_Final.pdf