Measure Theoretic Versions of Linear Programming.
Medium distances of probability-fuzzy points and an application to linear programming
Metasearch information fusion using linear programming
For a specific query merging the returned results from multiple search engines, in the form of a metasearch aggregation, can provide significant improvement in the quality of relevant documents. This paper suggests a minimax linear programming (LP) formulation for fusion of multiple search engines results. The paper proposes a weighting method to include the importance weights of the underlying search engines. This is a two-phase approach which in the first phase a new method for computing the importance...
Metasearch information fusion using linear programming
For a specific query merging the returned results from multiple search engines, in the form of a metasearch aggregation, can provide significant improvement in the quality of relevant documents. This paper suggests a minimax linear programming (LP) formulation for fusion of multiple search engines results. The paper proposes a weighting method to include the importance weights of the underlying search engines. This is a two-phase approach which in...
Method of shifting units for solving the zero-one linear programming problem
Méthode d'estimation d'utilités additives concaves en programmation linéaire multiobjectifs
Méthodes de décomposition et décentralisation en programmation linéaire
Méthodes de résolution du problème de transport et de production d'une entreprise à établissements multiples en présence de coûts fixes
Minimizing and maximizing a linear objective function under a fuzzy relational equation and an inequality constraint
This paper provides an extension of results connected with the problem of the optimization of a linear objective function subject to fuzzy relational equations and an inequality constraint, where is an operation. This research is important because the knowledge and the algorithms presented in the paper can be used in various optimization processes. Previous articles describe an important problem of minimizing a linear objective function under a fuzzy relational equation and an inequality constraint,...
Mixed complementarity problems for robust optimization equilibrium in bimatrix game
In this paper, we investigate the bimatrix game using the robust optimization approach, in which each player may neither exactly estimate his opponent’s strategies nor evaluate his own cost matrix accurately while he may estimate a bounded uncertain set. We obtain computationally tractable robust formulations which turn to be linear programming problems and then solving a robust optimization equilibrium can be converted to solving a mixed complementarity problem under the -norm. Some numerical...
Modèle dynamique d'optimisation à long terme d'un réseau de transport d'énergie électrique
Modelos auxiliares para problemas de programación lineal con coeficientes imprecisos en las restricciones.
En este artículo se considera un programa de Programación Lineal en el que los coeficientes del sistema de inecuaciones lineales, que definen el conjunto de restricciones, están dados de forma imprecisa o vaga. Se supone entonces que tales coeficientes pueden ser definidos mediante números difusos. Se propone un enfoque de resolución basado en las distintas versiones existentes para la comparación de números difusos. Finalmente, se obtienen diferentes modelos auxiliares de Programación Lineal, que...
Monotonicity of the Lagrangian function in the parametric interior point methods of convex programming.
Multiobjective De Novo Linear Programming
Mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives. In multiobjective linear programming problems it is usually impossible to optimize all objectives in a given system. Trade-offs are properties of inadequately designed system a thus can be eliminated through designing better one. Multiobjective De Novo linear programming is problem for designing optimal system...
Multiobjective optimal control of HIV dynamics.
Multiparametric linear fractional functionals programming.
In this paper a multiparametric linear fractional functionals program, with parameters appearing only in the objective function, is generated. The optimum solution of this parametric program is supposed to satisfy the constraints as equations only. It is also shown that the set of parameters forms a convex polyhedron.
Multiple Criteria Decision Making for Power Generation Investment Planning Under Restrictions of Aggregate Emission Control
New Methods for Combining Forecasts
New upper bounds for the size of permutation codes via linear programming.
New upper bounds on sphere packings. II.