Spectrum scarcity is one of the major challenges that the present world is facing. The efficient use of existing licensed spectrum is becoming most critical as growing demand of the radio spectrum. Different researches show that the use of licensed are not utilized inefficiently. It has been also shown that primary user does not use more than 60% of the licensed frequency band most of the time. There is need to find the techniques that can efficiently utilize the under-utilized licensed spectrum. One of the approaches is the use of “Cognitive Radio”. This allows the radio to learn from its environment, changing certain parameters. Based on this knowledge the radio can dynamically exploit the spectrum holes in the licensed band of the spectrum. This paper focuses on the performance of spectrum allocation technique, based on popular meta-heuristics Genetics Algorithm. Analyzing the performance of this technique using Matlab achieves mean fitness of 9.41. It provides fittest channels to the cognitive user on the basis of four priority parameters (genes) viz frequency, power, BER and modulation.