A Dual-Population Genetic Algorithm with Q-Learning for Multi-Objective Distributed Hybrid Flow Shop Scheduling Problem.
Jidong ZhangJingcao CaiPublished in: Symmetry (2023)
Keyphrases
- multi objective
- genetic algorithm
- evolutionary algorithm
- multi objective optimization
- cooperative
- multi agent
- optimization algorithm
- mutation operator
- pareto optimal set
- multiobjective optimization
- multi population
- simulated annealing and tabu search
- initial population
- objective function
- multi objective evolutionary algorithms
- distributed systems
- fitness function
- crossover and mutation
- evolutionary optimization
- population size
- selection operator
- nsga ii
- conflicting objectives
- pareto optimal
- particle swarm optimization
- multi objective optimization problems
- reinforcement learning
- state space
- distributed environment
- neural network
- multiple objectives
- learning algorithm
- genetic operators
- optimum design
- pareto optimal solutions
- parallel genetic algorithm
- artificial neural networks
- evolutionary process
- binary strings
- peer to peer
- estimation of distribution algorithms
- genetic programming
- bi objective
- multi objective evolutionary
- function approximation
- metaheuristic