Multi-objective linear-programming-based four-judgment algorithm for linear bounded noise system modeling.
Ziyun WangShuai ZhangJu H. ParkYan WangZhicheng JiPublished in: J. Frankl. Inst. (2020)
Keyphrases
- linear programming
- optimization algorithm
- multi objective
- dynamic programming
- cost function
- objective function
- quadratic programming
- noisy data
- np hard
- computational cost
- learning algorithm
- worst case
- optimal solution
- simulated annealing
- matching algorithm
- linear program
- linear complexity
- noise free
- detection algorithm
- expectation maximization
- segmentation algorithm
- particle swarm optimization
- trade off
- association rules
- benchmark problems
- solution quality
- gaussian noise
- primal dual
- preprocessing
- network flow
- decision trees
- neural network