In power and energy systems, both the aerodynamic performance and the structure
reliability of turbine equipment are affected by utilized blades. In general, the design process …

Multi-objective optimization problems with interval parameter (IMOPs) are among the most
critical optimization problems in practical applications. However, in contrast to deterministic …

Interval multi-objective optimization problems (IMOPs) are one of the most critical
optimization problems in practical applications. However, compared to deterministic multi …

In the railway industry, safety is an essential factor that has been modified by all societies
and railroad managers. Against the background of increasing speed of rolling stock, risk …

Renewable energy sources are a significant means of addressing dwindling conventional
fuels and have been increasingly incorporated in transmission power grids on a large scale …

Reactive power optimization is a special kind of optimal power flow for optimizing voltage
profile and reactive power flow in the steady state based on deterministic sets of the demand …

A multi-objective reliability-based design optimization method is proposed based on
probabilistic and ellipsoidal convex hybrid model. With reliability index as the constraint, a …

Compared with the interval model, the ellipsoidal convex model can describe the correlation
of the uncertain parameters through a multidimensional ellipsoid, and whereby excludes …

Uncertainty-based design and optimization is becoming one of the research focuses for high
safety of complex engineering systems. Evaluating failure probability is essential and …

Deterministic optimization has been successfully applied to a series of design problems of
square thin-walled energy absorption tubes and to a certain extent has fulfilled great …