TY  - JOUR
AU  - Rath, A. K. 
AU  - Dehuri, S. N. 
PY  - 2006
TI  - Non-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System Design 
JF  - Journal of Computer Science
VL  - 2
IS  - 3
DO  - 10.3844/jcssp.2006.288.291
UR  - https://thescipub.com/abstract/jcssp.2006.288.291
AB  - 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