The Hausdorff distance d H is a widely used tool to measure the distance between different
objects in several research fields. Possible reasons for this might be that it is a natural …

In this paper, we propose and investigate a new local search strategy for multiobjective
memetic algorithms. More precisely, we suggest a novel iterative search procedure, known as …

In this paper, we study the influence of the number of objectives of a continuous multiobjective
optimization problem on its hardness for evolution strategies which is of particular interest …

Evolutionary multi-objective optimization (EMO) is certainly a story of great success considering
the numerous contributions and their applications to different problems and fields during …

We propose a new iterative search procedure for the numerical treatment of unconstrained
multi-objective optimization problems (MOPs) which steers the search along a predefined …

Multi-objective evolutionary algorithms are widely used by researchers and practitioners to
solve multi-objective optimization problems (MOPs), since they require minimal assumptions …

Routing and scheduling problems with increasingly realistic modeling approaches often
entail the consideration of multiple objectives, time constraints, and modeling the system as a …

The role of Boolean functions in modern cryptography has triggered the necessity of developing
methods to construct them with adequate properties, such as balancedness and high …

Starting from Borel's description of the mod-2 cohomology of real flag manifolds, we give a
minimal presentation of the cohomology ring for semi complete flag manifolds $F_{k,m}:=F(1,\…

Reference point based optimization offers tools for the effective treatment of preference
based multi-objective optimization problems, eg when the decision-maker has a rough idea …