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The design of complex embedded systems involves the simultaneous optimization of several conflicting and competing objectives. Instead of a single global optimal solution, there exist a set of Pareto optimal solutions. In this study we have used a multi-objective evolutionary optimization algorithms called non-dominated sorting genetic algorithm (NSGA), which will suit to the requirements of designing a complex heterogeneous embedded system. Further, the algorithm is rigorously tested using Video Codec as a case study.
