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ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

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

Journal of Computer Science
Volume 2 No. 3, 2006, 288-291

DOI: https://doi.org/10.3844/jcssp.2006.288.291

Submitted On: 14 November 2005 Published On: 31 March 2006

How to Cite: Rath, A. K. & Dehuri, S. N. (2006). Non-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System Design . Journal of Computer Science, 2(3), 288-291. https://doi.org/10.3844/jcssp.2006.288.291

Open AccessCopyright: © 2006 A. K. Rath and S. N. Dehuri. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Heterogeneous embedded system
  • Pareto-optimal set
  • genetic algorithm
  • NSGA