A penalty function method based on Kuhn-Tucker condition for solving linear bilevel programming.
Yibing LvTiesong HuGuangmin WangZhongping WanPublished in: Appl. Math. Comput. (2007)
Keyphrases
- neural network
- penalty function
- constrained optimization
- detection method
- similarity measure
- objective function
- pairwise
- high accuracy
- significant improvement
- cost function
- optimization method
- optimization algorithm
- high order
- algebraic equations
- ant colony algorithm
- clustering method
- model selection
- linear programming
- dynamic programming
- multi objective
- preprocessing