2009 IEEE/SP 15th Workshop on Statistical Signal Processing 2009
DOI: 10.1109/ssp.2009.5278457
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Multi-objective performance optimization of H.264 AVC encoder

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“…When using a statistical method, the multiobjective optimization 12 normally produces a set of optimal solutions. Some multiobjective algorithms evolve from previously developed single-objective optimization algorithms, 13 for instance, nondominated sorting genetic algorithm-II (NSGA-II), 14 multiobjective differential evolution, 15 and multiobjective grey wolf optimizer. 16 A quasi-steady aerodynamic model based on empirical coefficients 17 can be used to improve the efficiency for optimal kinematic analysis of a flapping wing rotor.…”
Section: Introductionmentioning
confidence: 99%
“…When using a statistical method, the multiobjective optimization 12 normally produces a set of optimal solutions. Some multiobjective algorithms evolve from previously developed single-objective optimization algorithms, 13 for instance, nondominated sorting genetic algorithm-II (NSGA-II), 14 multiobjective differential evolution, 15 and multiobjective grey wolf optimizer. 16 A quasi-steady aerodynamic model based on empirical coefficients 17 can be used to improve the efficiency for optimal kinematic analysis of a flapping wing rotor.…”
Section: Introductionmentioning
confidence: 99%