GA Based Optimal Design of Network Architecture for Desired Connectivity and Traffic Demand
Designing of a network which could fulfill most of the requirements is always a challenging task for a researcher. Often this happens either with manual approach or by applying some kind of conventional methods. In both cases results do not have high level of optimality. Evolutionary computation is a beacon of hope in handling complex design problems in an efficient manner. To reduce the effect of congestion, various approaches can be applied at different levels namely over Architecture level and Protocol level. The performance of a protocol completely depends upon the facilities available with existing architectures which are stagnant.