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Continuous reformulations and heuristics for the Euclidean travelling salesperson problem

Tuomo Valkonen, Tommi Kärkkäinen (2008)

ESAIM: Control, Optimisation and Calculus of Variations

We consider continuous reformulations of the Euclidean travelling salesperson problem (TSP), based on certain clustering problem formulations. These reformulations allow us to apply a generalisation with perturbations of the Weiszfeld algorithm in an attempt to find local approximate solutions to the Euclidean TSP.

Control adaptativo de calidad en procesos industriales.

David de la Fuente García, Cesáreo Hernández Iglesias, R. del Olmo (1989)

Qüestiió

Se acepta que si las observaciones (yi) de un proceso de producción no son independientes, la estructura del error se puede determinar como sugirieron Box-Jenkins (1970). Pero los métodos de B-J son off-line y requieren de cierta experiencia por parte del usuario. En este trabajo, presentamos un procedimiento basado en filtros celosía adaptativos para el control estadístico de procesos (SPC). Este SPC adaptativo puede ser completamente computerizado y aún más, realizable en hardware.

Contrôle dynamique de flux dans un système d'attente avec panne

A. Haqiq, N. Mikou (2010)

RAIRO - Operations Research

We consider two parallel M/M/1 queues. The server at one of the queues is subject to intermittent breakdowns. By the theory of dynamic programming, we determine a threshold optimal policy which consists to transfer, when it is necessary, the customers that arrive at the first queue towards the second queue in order to minimize an instantaneous cost depending of the two queue lengths.

Convergence analysis of adaptive trust region methods

Zhen-Jun Shi, Xiang-Sun Zhang, Jie Shen (2007)

RAIRO - Operations Research

In this paper, we propose a new class of adaptive trust region methods for unconstrained optimization problems and develop some convergence properties. In the new algorithms, we use the current iterative information to define a suitable initial trust region radius at each iteration. The initial trust region radius is more reasonable in the sense that the trust region model and the objective function are more consistent at the current iterate. The global convergence, super-linear and quadratic convergence...

Convergence analysis of smoothing methods for optimal control of stationary variational inequalities with control constraints

Anton Schiela, Daniel Wachsmuth (2013)

ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique

In the article an optimal control problem subject to a stationary variational inequality is investigated. The optimal control problem is complemented with pointwise control constraints. The convergence of a smoothing scheme is analyzed. There, the variational inequality is replaced by a semilinear elliptic equation. It is shown that solutions of the regularized optimal control problem converge to solutions of the original one. Passing to the limit in the optimality system of the regularized problem...

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