A differential evolution with reinforcement learning for multi-objective assembly line feeding problem.
Lue TaoYun DongWeihua ChenYang YangLijie SuQingxin GuoGongshu WangPublished in: Comput. Ind. Eng. (2022)
Keyphrases
- differential evolution
- multi objective
- assembly line
- evolutionary algorithm
- reinforcement learning
- optimization algorithm
- multiple objectives
- particle swarm optimization
- multi objective optimization
- multi objective optimization problems
- differential evolution algorithm
- genetic algorithm
- optimization method
- particle swarm optimization pso
- evolutionary computation
- mutation operator
- multi objective problems
- multiobjective optimization
- production line
- beam search
- optimization problems
- nsga ii
- numerical optimization problems
- processing times
- multi objective evolutionary algorithms
- manufacturing systems
- global optimization problems
- multi agent
- objective function
- machine learning
- particle swarm
- fitness function
- simulated annealing
- state space
- crossover operator
- pso algorithm
- precedence constraints
- genetic programming
- solving global optimization problems
- multi criteria
- metaheuristic
- optimal policy
- optimization model
- pareto optimal solutions
- artificial neural networks
- neural network