Epistemic uncertainty widely exists in the early design stage of complex engineering
structures or throughout the full-life cycle of innovative structure design, which should be …

The reliability-based design optimization (RBDO) problem considers the necessary
uncertainty of measurements within the scope of planning to minimize the design objective …

The insights and benefits to be realised through the optimisation of multiple independent,
but conflicting objectives are well recognised by practitioners seeking effective and robust …

In this paper, an improved two-stage framework is presented to handle the evidence-based
design optimization (EBDO) problem under epistemic uncertainty. The improvements …

We propose to represent uncertainty on customer demands in the Capacitated Vehicle
Routing Problem (CVRP) using the theory of evidence. To tackle this problem, we extend …

This paper proposes a novel model named as “imprecise stochastic process model” to
handle the dynamic uncertainty with insufficient sample information in real-world problems …

Started during 1993-95 with three different algorithms, evolutionary multi-objective
optimization (EMO) has come a long way in a quick time to establish itself as a useful field of …

Parametric correlation exists widely in engineering problems. This paper presents an
approach of evidence-theory-based design optimization (EBDO) with parametric …

Evidence theory serves as a powerful tool to deal with epistemic uncertainty which widely
exists in the design stages of many complex engineering systems or products. However, the …

The epistemic uncertainties caused by insufficient knowledge of the atmosphere,
aerodynamic coefficient, and entry state render the entry process challenging, as they not …