This survey covers the state of the art of techniques for solving general-purpose constrained
global optimization problems and continuous constraint satisfaction problems, with …

Clouds are a concept for uncertainty mediating between the concept of a fuzzy set and that
of a probability distribution. A cloud is to a random variable more or less what an interval is …

This paper proposes a new set-membership approach to solve range-only simultaneous
localization and mapping (SLAM) problems in the case where the map is described by an …

Honour to whom honour is due, there is One whom I should thank the most: the LORD God,
Creator and Saviour. He provided me with health and opportunities to fulfil this task. I am …

Un système robotique agit par le mouvement dans un monde physique. La capacité
deplanification de mouvement est donc une composante essentielle de l'autonomie du …

Abstract The Lipschitz Global Optimizer (LGO) software integrates global and local scope
search methods, to handle a very general class of nonlinear optimization models. Here we …

This paper considers constraint propagation methods for continuous constraint satisfaction
problems consisting of linear and quadratic constraints. All methods can be applied after …

Optimization addresses the problem of finding the best possible choices with respect to a
given target, not violating a number of restrictions. In mathematical terms, optimization is the …

We present an exact method for the calculation of fragment size correlations in a discrete
finite system in which correlations explicitly due to the finite extent of the system are …

Grand Challenges and Scientific Standards in Interval Analysis Page 1 Reliable Computing 8:
313–320, 2002. 313 cO 2002 Kluwer Academic Publishers. Printed in the Netherlands. Grand …