QOS optimization in networks through meta-heuristic quartered genetic approach

In various networks the most critical task is finding of the best fit shortest path between specified source (S) and specified destination (D) and optimization of Quality of Service (QOS) parameters which include end-to-end delay, throughput, packet delivery ratio etc. Meta-heuristic based genetic approach is exploited in this paper to optimize QOS performance of various networks (wireless, ad-hoc, MANET etc) by developing a simulator in MATLAB taking into consideration various QOS parameters like; average packet delivery ratio, average packet drop rate, average end-to-end delay and average hop count.