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.
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