Introduced in 1993, the DIRECT global optimization algorithm provided a fresh approach to
minimizing a black-box function subject to lower and upper bounds on the variables. In …

A major challenge to the successful full-scale development of modern aerospace systems is
to address competing objectives such as improved performance, reduced costs, and …

Dynamic locomotion in rough terrain requires accurate foot placement, collision avoidance,
and planning of the underactuated dynamics of the system. Reliably optimizing for such …

The power flow equations relate the power injections and voltages in an electric power
system and are therefore key to many power system optimization and control problems …

In this introductory chapter, we present a high-level description of optimization, blackbox
optimization, and derivative-free optimization. We introduce some basic optimization …

This article describes new features and enhanced algorithms made available in version 5.0
of the SCIP Optimization Suite. In its central component, the constraint integer programming …

Chemical engineering applications have been a source of challenging optimization
problems for over 50 years. For many chemical process systems, detailed steady state and …

We present a primal-dual interior-point algorithm with a filter line-search method for
nonlinear programming. Local and global convergence properties of this method were …

One of the most effective methods for nonlinearly constrained optimization generates steps
by solving quadratic subproblems. This sequential quadratic programming (SQP) approach …

For many years all three of us have been interested in, and have tried to make contributions
to, derivative-free optimization. Our motivation for writing this book resulted from various …