An unconstrained optimization technique for nonsmooth nonlinear complementarity problems.
Análisis de sensibilidad de las soluciones del problema lineal múltiple ordenado.
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 (c1x, c2x, ..., cpx), 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.
Análisis interactivo de las soluciones del problema lineal múltiple ordenado.
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 del decisor....
Analyse de récession et résultats de stabilité d’une convergence variationnelle, application à la théorie de la dualité en programmation mathématique
Soit un espace de Banach de dual topologique . (resp. ) désigne l’ensemble des parties non vides convexes fermées de (resp. -fermées de ) muni de la topologie de la convergence uniforme sur les bornés des fonctions distances. Cette topologie se réduit à celle de la métrique de Hausdorff sur les convexes fermés bornés [16] et admet en général une représentation en terme de cette dernière [11]. De plus, la métrique qui lui est associée s’est révélée très adéquate pour l’étude quantitative...
Analyse de récession et résultats de stabilité d'une convergence variationnelle, application à la théorie de la dualité en programmation mathématique
Let X be a Banach space and X' its continuous dual. C(X) (resp. C(X')) denotes the set of nonempty convex closed subsets of X (resp. ω*-closed subsets of X') endowed with the topology of uniform convergence of distance functions on bounded sets. This topology reduces to the Hausdorff metric topology on the closed and bounded convex sets [16] and in general has a Hausdorff-like presentation [11]. Moreover, this topology is well suited for estimations and constructive approximations [6-9]. We...
Analyse de sensibilité pour les problèmes linéaires en variables 0-1
Cet article est un travail de synthèse autour de l’analyse de sensibilité pour les problèmes linéaires en variables 0-1. De nombreux aspects sont ainsi abordés : historique et formes d’analyse de sensibilité, exemples d’application, complexité, conditions d’optimalité, algorithmes et approches. Nous dressons par ailleurs quelques perspectives de recherche actuelles dans ce domaine.
Analyse de sensibilité pour les problèmes linéaires en variables 0-1
Cet article est un travail de synthèse autour de l'analyse de sensibilité pour les problèmes linéaires en variables 0-1. De nombreux aspects sont ainsi abordés : historique et formes d'analyse de sensibilité, exemples d'application, complexité, conditions d'optimalité, algorithmes et approches. Nous dressons par ailleurs quelques perspectives de recherche actuelles dans ce domaine.
Analyses de régression et programmation linéaire
Analyses of the Solution to a Linear Fractional Functionals Programming .
Analysis of a near-metric TSP approximation algorithm
The traveling salesman problem (TSP) is one of the most fundamental optimization problems. We consider the β-metric traveling salesman problem (Δβ-TSP), i.e., the TSP restricted to graphs satisfying the β-triangle inequality c({v,w}) ≤ β(c({v,u}) + c({u,w})), for some cost function c and any three vertices u,v,w. The well-known path matching Christofides algorithm (PMCA) guarantees an approximation ratio of 3β2/2 and is the best known algorithm for the Δβ-TSP, for 1 ≤ β ≤ 2. We provide a complete...
Analysis of a non-monotone smoothing-type algorithm for the second-order cone programming
The smoothing-type algorithm is a powerful tool for solving the second-order cone programming (SOCP), which is in general designed based on a monotone line search. In this paper, we propose a smoothing-type algorithm for solving the SOCP with a non-monotone line search. By using the theory of Euclidean Jordan algebras, we prove that the proposed algorithm is globally and locally quadratically convergent under suitable assumptions. The preliminary numerical results are also reported which indicate...
Analysis of an Integrated Production-Sales Problem for One-Machine, Two-Product System
Analysis of an isopetype dual algorithm for optimizing control and nonlinear optimization
First results concerning important theoretical properties of the dual ISOPE (Integrated System Optimization and Parameter Estimation) algorithm are presented. The algorithm applies to on-line set-point optimization in control structures with uncertainty in process models and disturbance estimates, as well as to difficult nonlinear constrained optimization problems. Properties of the conditioned (dualized) set of problem constraints are investigated, showing its structure and feasibility properties...
Analysis of M-stationary points to an EPEC modeling oligopolistic competition in an electricity spot market
We consider an equilibrium problem with equilibrium constraints (EPEC) arising from the modeling of competition in an electricity spot market (under ISO regulation). For a characterization of equilibrium solutions, so-called M-stationarity conditions are derived. This first requires a structural analysis of the problem, e.g., verifying constraint qualifications. Second, the calmness property of a certain multifunction has to be verified in order to justify using M-stationarity conditions. Third,...
Analysis of M-stationary points to an EPEC modeling oligopolistic competition in an electricity spot market∗
We consider an equilibrium problem with equilibrium constraints (EPEC) arising from the modeling of competition in an electricity spot market (under ISO regulation). For a characterization of equilibrium solutions, so-called M-stationarity conditions are derived. This first requires a structural analysis of the problem, e.g., verifying constraint qualifications. Second, the calmness property of a certain multifunction has to be verified in order...
Analysis of some Krylov subspace methods for normal matrices via approximation theory and convex optimization.
Analysis of the best-worst ant system and its variants on the TSP.
In this contribution, we will study the influence of the three main components of Best-Worst Ant System: the best-worst pheromone trail update rule, the pheromone trail mutation and the restart. Both the importance of each of them and the fact whether all of them are necessary will be analyzed. The performance of different variants of this algorithm will be tested when solving different instances of the TSP.
Anmerkungen zu einem Mehrgitterverfahren für lineare Komplementaritätsprobleme.
Annual Preventive Maintenance Scheduling for Thermal Units in an Electric Power System
Another set of verifiable conditions for average Markov decision processes with Borel spaces
In this paper we give a new set of verifiable conditions for the existence of average optimal stationary policies in discrete-time Markov decision processes with Borel spaces and unbounded reward/cost functions. More precisely, we provide another set of conditions, which only consists of a Lyapunov-type condition and the common continuity-compactness conditions. These conditions are imposed on the primitive data of the model of Markov decision processes and thus easy to verify. We also give two...