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Simplicial Global Optimization is centered on deterministic covering methods partitioning feasible region by simplices.  This book looks into the advantages of simplicial partitioning in global optimization through applications where the search space may be significantly reduced while taking into ac... More

Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions. Multi-objective optimization methods facilitate designers, engineers, and researchers to make decisions on appropriate tra... More

This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques.  Throughout the book, various  applications of multidimensional data visualization are presented including its uses in social sciences (economy, educa... More

Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey cal... More