A new MCTS-based algorithm for multi-objective flexible job shop scheduling problem.
Jen-Jai ChouChao-Chin LiangHung-Chun WuI-Chen WuTung-Ying WuPublished in: TAAI (2015)
Keyphrases
- multi objective
- optimization algorithm
- matching algorithm
- learning algorithm
- detection algorithm
- dynamic programming
- k means
- genetic algorithm
- benchmark problems
- simulated annealing
- worst case
- np hard
- objective function
- significant improvement
- search space
- computational cost
- preprocessing
- improved algorithm
- computational complexity
- particle swarm optimization
- expectation maximization
- theoretical analysis
- bayesian networks
- multiagent evolutionary algorithm
- job shop scheduling problem
- neural network
- convergence rate
- convex hull
- similarity measure
- ant colony optimization
- linear programming
- optimization problems
- high accuracy
- experimental evaluation
- evolutionary algorithm