An MO-GVNS algorithm for solving a multiobjective hybrid flow shop scheduling problem.
Eduardo Camargo de SiqueiraMarcone Jamilson Freitas SouzaSérgio Ricardo de SouzaPublished in: Int. Trans. Oper. Res. (2020)
Keyphrases
- multi objective
- optimization algorithm
- learning algorithm
- recognition algorithm
- detection algorithm
- dynamic programming
- cost function
- preprocessing
- particle swarm optimization
- convergence rate
- significant improvement
- expectation maximization
- times faster
- experimental evaluation
- computational cost
- high accuracy
- matching algorithm
- k means
- evolutionary algorithm
- min max
- benchmark problems
- multiple objectives
- multiobjective optimization
- multiobjective evolutionary algorithm
- probabilistic model
- segmentation algorithm
- linear programming
- search space
- lower bound
- search algorithm
- optimal solution
- objective function
- decision trees