Improving many-objective optimization performance by sequencing evolutionary algorithms.
Martin DohrBernd EichbergerPublished in: GECCO (2014)
Keyphrases
- evolutionary algorithm
- multi objective
- optimization problems
- multiple objectives
- differential evolution
- multi objective optimization
- nsga ii
- evolutionary computation
- simulated annealing
- fitness function
- genetic programming
- multi objective evolutionary algorithms
- differential evolution algorithm
- genetic algorithm
- evolution strategy
- crossover operator
- neural network
- evolutionary methods
- evolutionary strategy
- optimization algorithm
- particle swarm optimization
- artificial intelligence
- convergence rate
- data sets
- real time