Many economic and financial applications lead (from the mathematical point of view) to
deterministic optimization problems depending on a probability measure. These problems …

Stochastic optimization models are built with the assumption that the underlying probability
measure is entirely known. This is not true in practice, however: empirical approximation or …

We consider a multiobjective optimization problem in which objective functions are in the
form of mathematical expectation of functions depending on a random element and a …

To select among several decisions the best one is an ancient and “obviously very simple”
task that people have been solving for centuries. Verily, to find the shortest route to the office …

A variety of optimization techniques are widely used when we model economical situation.
Input parameters of such models could take different nature; especially important are these …

Ab stract Prac ti cal eco no mic prob lems of ten ask for op ti mi za tion pro ce du res, not un
fre qu en tly with ran dom in puts le a ding thus to sto chas tic prog ra mming mo dels. The …

Multistage stochastic programming problems belong to optimization problems depending on
a probability measure. Usually, the operator of mathematical expectation appears in an …

Economic activities developing over time are very often influenced simultaneously by a
random factor (modeled mostly by a stochastic process) and a" decision" parameter (that …