Computational methods in optimization considering uncertainties – An overview

TL;DR: In this paper, the authors developed a decision support model based on contract theory, formal modeling and stochastic optimization for availability-based contract design, which was used to explore the optimum availability assessment window (i.e., the length of time over which availability must be assessed) for an availability based contract.

TL;DR: In this paper, a new approach for the quality analysis and consistency design of EMD based on the approximate model has been proposed, which is verified by a case study of a certain type of electromagnetic relay with permanent magnet.

TL;DR: In diesem ganzheitlichen Prozess der Entwurfsoptimierung werden optimale Kompromisse und Hinweise bezuglich der strukturmechanischen and fertigungstechnischen Aspekte gewonnen.

TL;DR: A new reliability-based optimization method is established as a nature combination of the non-probabilistic multi-objective optimization method using convex models with the surrogate model.

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.

TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.

TL;DR: The proof-of-principle results obtained on two artificial problems as well as a larger problem, the synthesis of a digital hardware-software multiprocessor system, suggest that SPEA can be very effective in sampling from along the entire Pareto-optimal front and distributing the generated solutions over the tradeoff surface.