CMS/CAIMS Books in Mathematics is a collection of monographs and graduatelevel
textbooks published in cooperation jointly with the Canadian Mathematical Society-Societé …

In this paper we consider uncertain scalar optimization problems with infinite scenario sets.
We apply methods from vector optimization in general spaces, set-valued optimization and …

Our scientific collaboration began about 35 years ago, when both of us had just finished our
Ph. D. Theses. The first article which we submitted together dealt with a certain type of …

We present and analyze several definitions of Pareto optimality for multicriteria optimization
or decision problems with uncertainty primarily in their objective function values. In …

Many real-life problems in engineering, business, and management are characterized by
multiple, conflicting objectives, as well as the presence of uncertainty. The conflicting criteria …

The presented study deals with the scalarization techniques for solving multiobjective
optimization problems. The Pascoletti–Serafini scalarization technique is considered, and it …

The presented paper addresses scalarization techniques for multiobjective optimization
problems. A new scalarization technique for solving a general multiobjective optimization …

In this work, we consider a multiobjective optimization problem in which the ordering cone is
assumed to be polyhedral. In this framework, we characterize proper efficient solutions …

The mathematical equivalence between linear scalarizations in multiobjective programming
and expected-value functions in stochastic optimization suggests to investigate and …

The main idea of this article is to characterize approximate proper efficiency that is a widely
used optimality concept in multicriteria optimization problems that prevents solutions having …