Non-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System Design
A. K. Rath & S. N. Dehuri
Journal of Computer Science, Volume 2, Issue 3, pp. 288–291 · doi.org/10.3844/jcssp.2006.288.291
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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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
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