This book presents a collection of papers on recent advances in problems concerning dynamics, optimal control and optimization. In many chapters, computational

This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for t

Introduces several approaches for solving flow control and optimization problems through the use of modern methods.

Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches covers recent developments in optimization techniques for addressing

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.