The control vector parameterization (CVP) approach is popular to solve nonlinear dynamic optimization problems, but handling inequality path constraints within its framework is a challenge. This study ...

Nonlinear and nonconvex optimization problems are vital and fundamental problems in science and engineering fields. In this article, a novel finite-time circadian rhythms learning network (called ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...