An Evaluation of the NSGA-II and MOCell Genetic Algorithms for Self-Management Planning in a Pervasive Service Middleware.
Weishan ZhangKlaus Marius HansenPublished in: ICECCS (2009)
Keyphrases
- nsga ii
- multi objective
- genetic algorithm
- multi objective optimization
- evolutionary algorithm
- fitness function
- pareto optimal
- mutation operator
- evolutionary multiobjective optimization
- test problems
- uniform design
- multiobjective evolutionary algorithm
- multiobjective optimization
- constrained multi objective optimization problems
- optimization problems
- crossover operator
- differential evolution
- multi objective optimisation
- smart spaces
- evolutionary multiobjective
- simulated annealing
- multi objective optimization problems
- optimization algorithm
- evolutionary computation
- artificial neural networks
- particle swarm optimization
- multi objective evolutionary algorithms
- bi objective
- neural network
- multi objective problems
- genetic operators
- genetic algorithm ga
- computing environments
- tabu search
- metaheuristic
- pareto optimal solutions
- solution quality
- multi criteria
- multiple objectives
- service discovery
- optimal solution
- special case