Algorithms for stochastic optimization with expectation constraints ∗

This paper considers the problem of minimizing an expectation function over a closed convex set, coupled with an expectation constraint on either decision variables or problem parameters. We first present a new stochastic approximation (SA) type algorithm, namely the corporative SA (CSA), to handle problems with the expectation constraint on devision… CONTINUE READING