An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers.
Bin QianLing WangDexian HuangWanliang WangXiong WangPublished in: Comput. Oper. Res. (2009)
Keyphrases
- multi objective
- dynamic programming
- optimization algorithm
- computational complexity
- optimal solution
- experimental evaluation
- improved algorithm
- cost function
- detection algorithm
- search space
- theoretical analysis
- np hard
- learning algorithm
- linear programming
- objective function
- computationally efficient
- recognition algorithm
- evolutionary algorithm
- preprocessing
- highly efficient
- particle swarm optimization algorithm
- convergence rate
- convex hull
- times faster
- matching algorithm
- clustering method
- expectation maximization
- particle swarm optimization
- input data
- high accuracy