Interactive methods are useful decision-making tools for multiobjective optimization
problems, because they allow a decision-maker to provide her/his preference information …

Interactive multiobjective optimization methods incorporate preferences from a human
decision maker in the optimization process iteratively. This allows the decision maker to …

The insights and benefits to be realised through the optimisation of multiple independent,
but conflicting objectives are well recognised by practitioners seeking effective and robust …

This chapter describes the state-of-the-art in visualisation for decision support processes in
problems with many objectives. Visualisation is an important part of a constructive decision …

We consider a stochastic discrete multiobjective programming process with a finite number
of stages. The number of states at each stage and the number of feasible decisions at each …

We introduce novel concepts to solve multiobjective optimization problems involving
(computationally) expensive function evaluations and propose a new interactive method …

The knowledge and intuition of experienced users for practical optimization problems are
often underutilized in academic research. Such knowledge, formulated as inter-variable …

Management of natural resources at the regional level is a compromise between a variety of
objectives and interests. At the local level, management of the forests depends upon the …

In this paper, we integrate a lot sizing problem with the problem of determining optimal
values of safety stock and safety lead time. We propose a probability of product availability …

Manufactured parts are meticulously engineered to perform well with respect to several
conflicting metrics, like weight, stress, and cost. The best achievable trade-offs reside on the …