Evolutionary Algorithms (EA) have proven to be very effective in optimizing intractable problems in many areas. However, real problems including specific constraints are often overlooked by the proposed generic models. The authors' goal here is to show how knowledge engineering techniques can be...

We consider a discrete-time ergodic Markov chain on a partially ordered state space and study the stochastic comparison between its invariant measure and some measures related with the behaviour of the chain conditioned to avoid a decreasing subset of the state space. We also study the situation...