A simulation-based multi-objective design optimization of electronic packages under thermal cycling and bending

Evacuation modelling analysis within the operational research context: A combined approach for improving enclosure designs

“…Each combination of design variables could be viewed as a point in the ndimensional design space, where n is the total number of design variables [29]. The particular arrangement of points in the design space is known as an experimental design or design of experiments (DoE) [30,31].…”

Agent assisted interactive algorithm for computationally demanding multiobjective optimization problems

“…The function evaluations may depend, for example, on time-consuming computations or simulations [9,12,10,13]. If this is the case, an interactive multiobjective optimization process as outlaid above may become infeasible by the long waiting times needed to generate new Pareto optimal solutions according to the preference information specied by the DM.…”

Coupling dynamic simulation and interactive multiobjective optimization for complex problems: An APROS-NIMBUS case study

“…The function evaluations may be complex, leading to computationally expensive computations or simulations (see e.g. [4,36,38,93,104]). The computational expense may even be so high that the use of an interactive method as described above may become infeasible due to the long waiting times needed to generate new solutions.…”