textbook’s coverage of the essential concepts, theory and methods, complemented with illustrative examples and exercises, the …Introduction -- Problem formulation and definitions -- Surrogate scalar functions and scalarization techniques …

.-Weighted Sum Scalarization.-Other Scalarization Methods.-Nonscalarizing Techniques.-Multiobjective Linear Programming …

scalarization approaches. Readers will benefit from the new adaptive methods and ideas for solving multiobjective optimization. … scalarization approaches. With the help of sensitivity results an adaptive parameter control is developed such that high …-quality approximations of the efficient set are generated. These examinations are based on a special scalarization approach, but the …

regression. It presents the theory of and approaches to robust (conic) multivariate adaptive regression splines - R(C)MARS – and … implementation. It explains robust optimization in these models in terms of both the theory and methodology. In this context it …

can be used in theories based on the neoclassical theory of production and its alternatives, including evolutionary …