Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization.
Robbert ReijnenYingqian ZhangZaharah Allah BukhshMateusz GuzekPublished in: SSCI (2022)
Keyphrases
- multi objective optimization
- differential evolution
- adaptive parameter control
- genetic algorithm
- reinforcement learning
- evolutionary algorithm
- multi objective
- differential evolution algorithm
- convergence speed
- test functions
- multi objective optimization problems
- optimization method
- particle swarm optimization
- mutation operator
- optimization algorithm
- nsga ii
- constrained optimization problems
- hybrid algorithm
- premature convergence
- pareto optimal
- particle swarm optimization pso
- multiple objectives
- evolution strategy
- bi objective
- simulated annealing
- evolutionary computation
- particle swarm
- multi objective genetic algorithm
- evolutionary strategy
- initial population
- numerical optimization problems
- parameter optimization
- crossover operator
- solving global optimization problems
- optimization problems
- multi objective problems
- multi objective genetic algorithms
- constraint handling
- genetic operators
- neural network
- multi objective evolutionary algorithms
- dynamic programming
- artificial neural networks
- global search