Non-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System Design| Science Publications

Journal of Computer Science

S. N. Dehuri¹  A. K. Rath¹ 

关键词: Heterogeneous embedded system;    Pareto-optimal set;    genetic algorithm;    NSGA;   

DOI  :  10.3844/jcssp.2006.288.291

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

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

【 授权许可】

Unknown