The interactive decision making (IDM) methods exploit the preference information from the decision maker during the optimization task to guide the search towards favourite solution...
This paper presents an algorithm that converges to points that satisfy a first order necessary condition of weakly Pareto solutions of multiobjective optimization problems. Hints ...
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
This paper reports about the application of a new variant of multiobjective Mixed-Integer Evolution Strategy to a warehouse design optimization problem. The algorithm is able to d...
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...
Rudolf Berghammer, Tobias Friedrich, Frank Neumann