GLISp-r: A preference-based optimization algorithm with convergence guarantees.
Davide PrevitaliMirko MazzoleniAntonio FerramoscaFabio PrevidiPublished in: CoRR (2022)
Keyphrases
- optimization algorithm
- multi objective
- convergence proof
- differential evolution
- evolutionary multi objective
- optimization method
- particle swarm optimization pso
- convergence speed
- optimization strategy
- hybrid optimization algorithm
- convergence rate
- artificial bee colony
- global optima
- genetic algorithm
- evolutionary algorithm
- learning rate
- control parameters
- user preferences