Q-learning-based simulated annealing algorithm for constrained engineering design problems.
Hussein SammaJunita Mohamad-SalehShahrel Azmin SuandiBadr LahasanPublished in: Neural Comput. Appl. (2020)
Keyphrases
- simulated annealing algorithm
- engineering design problems
- simulated annealing
- particle swarm optimization pso
- engineering problems
- multi objective
- constrained optimization
- genetic algorithm
- reinforcement learning
- search algorithm
- function approximation
- learning algorithm
- cooperative
- state space
- multi agent
- multiple objectives
- test data generation
- evolutionary algorithm
- premature convergence
- hybrid algorithm
- optimization algorithm
- engineering design
- tabu search
- genetic algorithm ga
- case study
- neural network
- mutation operator
- greedy algorithm
- objective function
- mathematical model
- computational intelligence
- dynamic programming