Multi-objective optimization of multimedia embedded systems using genetic algorithms and stochastic simulation.
Bruno Costa e Silva NogueiraPaulo Romero Martins MacielEduardo TavaresRicardo M. A. SilvaErmeson Carneiro de AndradePublished in: Soft Comput. (2017)
Keyphrases
- multi objective optimization
- embedded systems
- stochastic simulation
- multi objective
- genetic algorithm
- evolutionary algorithm
- belief networks
- low cost
- bayesian analysis
- simple examples
- embedded devices
- resource limited
- computing power
- embedded software
- multiple objectives
- differential evolution
- software systems
- ordinary differential equations
- pareto optimal
- multi objective optimization problems
- nsga ii
- optimization algorithm
- multi objective genetic algorithms
- multi objective evolutionary algorithms
- multiobjective optimization
- gene expression data
- genetic programming
- simulated annealing
- multi objective genetic algorithm
- probabilistic model
- protocol stack
- pareto optimal set