With advancement in the field of communication, obtaining optimal solutions to minimize interference still remains a challenge because of the random nature of interference. Increased co-channel and adjacent channel interference results in dropped calls, slow data throughput, signal latency. Interference also affects non-cellular networks such as public safety systems, air-traffic radar and others, risking lives. In order to tackle these problems, more and more intelligent evolutionary algorithms are being explored. However, rapid growth in this domain makes researchers unaware of the progresses made over time. In this paper, a few types of interference namely co-channel interference, adjacent channel interference, inter symbol interference, inter user interference, inter cell interference and electromagnetic interference have been discussed. In general interference can be minimized to a large extent by transmitting signals at different frequencies, at different intervals of time. Furthermore, the optimal existing algorithms to mitigate interference such as Zero forcing equalizer, Transmit power and window control, Dispersion Interleaving, Channel Allocation and usage of Chemical compounds to mitigate interference have also been discussed.