A stopping criterion for multi-objective optimization evolutionary algorithms.
Luis MartíJesús GarcíaAntonio BerlangaJosé M. MolinaPublished in: Inf. Sci. (2016)
Keyphrases
- multi objective optimization
- stopping criterion
- evolutionary algorithm
- multi objective
- convergence rate
- evolutionary computation
- differential evolution
- optimization problems
- fitness function
- nsga ii
- cost function
- region merging
- simulated annealing
- genetic programming
- genetic algorithm
- multiple objectives
- genetic operators
- multi objective optimization problems
- evolutionary strategy
- solving multi objective optimization problems
- differential evolution algorithm
- pareto optimal set
- pareto optimal
- multi objective genetic algorithms
- optimization method
- multi objective genetic algorithm
- neural network
- bi objective
- crossover operator
- optimization algorithm
- region growing
- multi objective evolutionary algorithms
- estimation of distribution algorithms
- objective function
- multi objective problems
- complex optimization problems
- co occurrence
- pareto frontier