Window-of-interest based Multi-objective Evolutionary Search for
  Satisficing Concepts
  The set-based concept approach has been suggested as a means to
simultaneously explore different design concepts, which are meaningful sub-sets
of the entire set of solutions. Previous efforts concerning the suggested
approach focused on either revealing the global front (s-Pareto front), of all
the concepts, or on finding the concepts' fronts, within a relaxation zone. In
contrast, here the aim is to reveal which of the concepts have at least one
solution with a performance vector within a pre-defined window-of-interest
(WOI). This paper provides the rational for this new concept-based exploration
problem, and suggests a WOI-based rather than Pareto-based multi-objective
evolutionary algorithm. The proposed algorithm, which simultaneously explores
different concepts, is tested using a recently suggested concept-based
benchmarking approach. The numerical study of this paper shows that the
algorithm can cope with various numerical difficulties in a simultaneous way,
which outperforms a sequential exploration approach.
