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Partiendo del problema de programación lineal multiobjetivo bajo incertidumbre y definiendo la utilidad de una decisión factible x, como el k-ésimo valor ordenado del vector (cx, cx, ..., cx), estudiamos en este trabajo el problema múltiple planteado en el caso de un conocimiento incompleto de los objetivos, así como la sensibilidad de una solución óptima en relación con dicho conocimiento parcial.
En este trabajo se estudian procedimientos para la elección entre las soluciones eficientes del Problema de Programación Lineal con Objetivos Múltiples, cuando el decisor manifiesta preferencias sobre ciertas ordenaciones de las valoraciones de las funciones objetivo, utilizándose como criterio de valoración global funciones basadas en el k-ésimo valor del vector de los objetivos ordenado en cada punto.
Se desarrollan procedimientos para generar ordenaciones compatibles con la información...
En el presente trabajo establecemos una nueva aproximación a la solución del problema de localización con normas mixtas a través de las direcciones de proyección.
Probamos que el cierre octogonal de los puntos de demanda es una buena aproximación para el conjunto de puntos eficientes cuando el problema está formulado como un problema multiobjetivo con normas mixtas tipo lp. Demostramos que esta cota es alcanzable, dando condiciones para que...
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