@article {10.3844/jcssp.2006.288.291,
article_type = {journal},
title = {Non-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System Design },
author = {Rath, A. K. and Dehuri, S. N.},
volume = {2},
number = {3},
year = {2006},
month = {Mar},
pages = {288-291},
doi = {10.3844/jcssp.2006.288.291},
url = {https://thescipub.com/abstract/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},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}