Enhancing MOPSO through the guidance of ANNs.
Timothy RawlinsAndrew LewisJan HettenhausenTimoleon KipourosPublished in: IJCNN (2014)
Keyphrases
- multi objective
- particle swarm optimization
- particle swarm optimizer
- artificial neural networks
- multi objective particle swarm optimization
- highly competitive
- evolutionary algorithm
- using artificial neural networks
- nsga ii
- genetic algorithm
- multi objective optimization
- optimization algorithm
- benchmark problems
- multiobjective optimization
- pso algorithm
- multiple objectives
- pareto optimal set
- objective function
- ant colony optimization
- particle swarm optimization pso
- bi objective
- particle swarm
- hybrid algorithm
- global optimization
- optimization problems
- simulated annealing
- pareto optimal
- differential evolution
- multi objective optimization problems
- test problems
- multi criteria
- fitness function
- genetic programming
- evolutionary multi objective optimization
- uniform design
- multi agent
- learning algorithm