Significant research activity has occurred in the area of global
optimization in recent years. Many new theoretical, algorithmic, and
computational contributions have resulted. Despite the major importance
of test problems for researchers, there has been a lack of
representative nonconvex test problems for constrained global
optimization algorithms. This book is motivated by the scarcity of
global optimization test problems and represents the first systematic
collection of test problems for evaluating and testing constrained
global optimization algorithms. This collection includes problems
arising in a variety of engineering applications, and test problems from
published computational reports.