Novel Dynamic Decomposition-Based Multi-objective Evolutionary Algorithm Using Reinforcement Learning Adaptive Operator Selection (DMOEA/D-SL).
José Alfredo Brambila-HernándezMiguel Ángel García MoralesHéctor Joaquín Fraire HuacujaLaura Cruz ReyesClaudia Guadalupe Gómez SantillánNelson Rangel-ValdezHéctor José Puga SoberanesFausto BalderasPublished in: Computación y Sistemas (CyS) (2024)
Keyphrases
- reinforcement learning
- multi objective evolutionary algorithms
- multi objective evolutionary
- benchmark test
- multi objective optimization
- learning algorithm
- machine learning
- cost function
- multi dimensional
- constraint satisfaction problems
- mathematical model
- evolutionary computation
- multi objective
- multi criteria
- artificial intelligence
- genetic algorithm
- neural network