Triangular norms in the study of probabilistic metric spaces as a special kind of associative functions defined on the unit interval. These functions have found applications in many areas since then. In this study, we present new methods for constructing triangular norms and triangular conorms on an arbitrary bounded lattice under some constraints. Also, we give some illustrative examples for t...

In this note, we extend an evolutionary stochastic portfolio optimization framework to include probabilistic constraints. Both the stochastic programming-based modeling environment as well as the evolutionary optimization environment are ideally suited for an integration of various types of probabilistic constraints. We show an approach on how to integrate these constraints. Numerical results u...

due to the considerable growth in the worldwide container transportation, optimization of container terminal operations is becoming highly needed to rationalize the use of logistics resources. for this reason, we focus our study on the quay crane scheduling problem (qcsp), which is a core task of managing maritime container terminals. from this planning problem arise two decisions to be made: t...

Design optimization under uncertainty is considered in the context of problems with probabilistic constraints. Probabilistic optimization has been studied for several years; in this dissertation, some theoretical developments in certain classes of deterministic optimization problems are extended to probabilistic ones. Specifically, the optimality conditions of probabilistic optimization and pro...