Multi-objective Hadoop Configuration Optimization Using Steady-State NSGA-II.
Phyo Thandar ThantCourtney PowellAkiyoshi SugikiMasaharu MunetomoPublished in: SCIS&ISIS (2016)
Keyphrases
- steady state
- multi objective
- nsga ii
- optimization algorithm
- multiobjective optimization
- evolutionary multiobjective
- uniform design
- optimization problems
- evolutionary algorithm
- multiple objectives
- multi objective optimization
- multi objective evolutionary algorithms
- pareto optimal
- multiobjective evolutionary algorithm
- markov chain
- optimum design
- multi objective optimization problems
- explicit expressions
- particle swarm optimization
- genetic algorithm
- queue length
- bi objective
- product form
- test problems
- objective function
- pareto fronts
- pareto optimal solutions
- differential evolution
- evolutionary multiobjective optimization
- fitness function
- multi objective problems
- pareto dominance
- queueing networks
- multi objective optimisation
- steady states
- pareto frontier
- pareto optimal set
- neural network
- multi objective genetic algorithm
- queueing model
- heavy traffic
- queue size
- arrival rate
- branch and bound
- search algorithm
- genetic programming