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Journal of Computer Science
Year: 2006  |  Volume: 2  |  Issue: 3  |  Page No.: 288 - 291

Non-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System Design

A. K. Rath and S. N. Dehuri    

Abstract: 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.

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