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Main flow chart of NSGA algorithm 2.2.1.Fast non-dominant sorting For NSGA algorithm, the population size is n and there are m optimization objectives. In order to find all non dominated solutions, each optimization objective of each population needs to be compared with other populations, and the computational complexity is   mn 

Main flow chart of NSGA algorithm 2.2.1.Fast non-dominant sorting For NSGA algorithm, the population size is n and there are m optimization objectives. In order to find all non dominated solutions, each optimization objective of each population needs to be compared with other populations, and the computational complexity is   mn 

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Fig.2 Main flow chart of NSGA algorithm 2.2.1.Fast non-dominant sorting...
Fig. 3 Comparison of total throughput simulation
Fig. 4 Maximum network link utilization at different points in time
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