Global Optimization in Practice:State of the Art and Perspectives

Global optimization–the theory and methods of finding the best possible solution in multiextremal models–has become a subject of interest in recent decades. Key theoretical results and basic algorithmic approaches have been followed by software implementations that are now used to handle a growing range of applications. This work discusses some practical aspects of global optimization. Within this framework, we highlight viable solution approaches, modeling environments, software implementations, numerical examples, and real-world applications.