文章基本信息

标题：Non-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System Design
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作者：Rath, A. K. ; Dehuri, S. N.
期刊名称：Journal of Computer Science
印刷版ISSN：1549-3636
出版年度：2006
卷号：2
期号：3
页码：288-291
DOI：10.3844/jcssp.2006.288.291
出版社：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
关键词：Heterogeneous embedded system; Pareto-optimal set; genetic algorithm; NSGA