Multidisciplinary design optimization is a field of research that studies the application of
numerical optimization techniques to the design of engineering systems involving multiple …

Optimal design of launch vehicles is a complex problem which requires the use of specific
techniques called Multidisciplinary Design Optimization (MDO) methods. MDO …

We present a decentralized optimization method for solving the coordination problem of
interconnected nonlinear discrete-time dynamic systems with multiple decision makers. The …

Control of autonomous vehicles for applications such as surveillance, search, and
exploration has been a topic of great interest over the past two decades. In particular, there …

This paper proposes an optimization approach for day-ahead reactive power planning to
improve voltage security in transmission networks. The problem is formulated as a voltage …

ABSTRACT Using the Karush–Kuhn–Tucker conditions for the convex lower level problem,
the bilevel optimization problem is transformed into a single-level optimization problem (a …

When designing a complex product, many groups are concurrently develo** different
parts or aspects of the product using detailed simulation models. Multidisciplinary design …

Dynamic stability is a key performance metric of motor vehicles and has a direct impact on
passenger experience and customer satisfaction. The desired vehicle dynamics behavior …

Multidisciplinary design optimization (MDO) problems are engineering design problems that
require the consideration of the interaction between several design disciplines. Due to the …

The paper summarizes the results of research on the modeling and implementation of
advanced planning and scheduling (APS) systems done in recent twenty years. It discusses …