A Multiple Reference Point-based evolutionary algorithm for dynamic multi-objective optimization with undetectable changes.
Radhia AzzouzSlim BechikhLamjed Ben SaidPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- multi objective optimisation
- multi objective optimization
- evolutionary algorithm
- multi objective
- nsga ii
- multi objective optimization problems
- evolutionary computation
- hybrid evolutionary algorithm
- optimization problems
- multiple objectives
- differential evolution
- pareto optimal
- optimization algorithm
- multiobjective optimization
- evolutionary strategy
- multi objective genetic algorithms
- genetic algorithm
- fitness function
- particle swarm optimization
- pareto optimal set
- simulated annealing
- bi objective
- genetic programming
- multi objective genetic algorithm
- function optimization
- crossover and mutation
- multi objective problems
- neural network
- evolution strategy
- objective function
- pareto dominance
- constrained optimization problems
- genetic operators
- particle swarm
- optimization method