A decomposition-based kernel of Mallows models algorithm for bi- and tri-objective permutation flowshop scheduling problem.
Murilo ZangariAdemir Aparecido ConstantinoJosu CeberioPublished in: Appl. Soft Comput. (2018)
Keyphrases
- learning algorithm
- cost function
- probabilistic model
- detection algorithm
- search space
- worst case
- computational cost
- times faster
- objective function
- preprocessing
- machine learning
- dynamic programming
- np hard
- optimization algorithm
- parameter estimation
- linear programming
- experimental evaluation
- significant improvement
- k means
- computational complexity
- high accuracy
- evolutionary algorithm
- support vector
- optimal solution
- multiscale
- convergence rate
- decomposition algorithm