Optimization is one of the most important and challenging parts of any engineering design.
In real-world design, multiobjective optimization with constraints has to be considered. The …

Many practical engineering problems involve the determination of optimal control
trajectories for given multiple and conflicting objectives. These conflicting objectives typically …

Dynamic optimization or optimal control problems are omnipresent in the (bio) chemical
industry. In addition, these problems often involve multiple and conflicting objectives …

Traditional aircraft conceptual design primarily involves determination of top-level sizing
parameters, resulting in an initial design which satisfies specified point-performance …

Over the years, a number of methods have been proposed for the generation of uniform and
globally optimal Pareto frontiers in multi-objective optimization problems. This has been the …

Multiobjective optimization (MO) techniques allow a designer to model a specific problem
considering a more realistic behavior, which commonly involves the satisfaction of several …

This paper presents a 390-line code written in ANSYS Parametric Design Language (APDL)
for topology optimization of structures with multi-constraints. It adopts the bi-directional …

Abstract Nonlinear Model Predictive Control (NMPC) is a powerful technique that can be
used to control many industrial processes. Different and often conflicting control objectives …

For large power systems with huge proportions of industrial loads, dynamic var sources
(DVSs) such as STATCOMs and generators provide significant protection against short-term …

Dynamic process models can be used for operating, controlling and optimising important
bioprocesses, eg, pharmaceuticals production, enzyme production and brewing. After …