Stochastic mixed-model assembly line sequencing problem: Mathematical modeling and Q-learning based simulated annealing hyper-heuristics.
Hadi MosadeghS. M. T. Fatemi GhomiGürsel A. SüerPublished in: Eur. J. Oper. Res. (2020)
Keyphrases
- mixed model assembly
- mathematical modeling
- simulated annealing
- hyper heuristics
- metaheuristic
- evolutionary algorithm
- timed petri nets
- production system
- search procedure
- discrete event
- tabu search
- mathematical model
- timetabling problem
- genetic programming
- mathematical models
- reinforcement learning
- state space
- computational intelligence
- heuristic search
- genetic algorithm
- combinatorial optimization
- condition action rules
- ordinary differential equations
- multi agent
- learning algorithm
- difficult problems
- optimization problems
- machine learning
- constraint satisfaction problems
- hill climbing
- optimal policy
- systems biology
- differential evolution
- simulation model
- neural network
- cutting stock problems
- bayesian networks
- search heuristics
- heuristic methods
- fitness function
- multistage
- dynamic systems
- memetic algorithm
- dynamic programming
- search space
- expert systems
- image processing
- artificial intelligence
- experimental data