Policy makers constantly face optimal control problems: what controls allow to achieve certain targets in, e.g., GDP growth or inflation? Conventionally this is done by applying certain linear-quadratic optimization algorithms to dynamic econometric models. Several algorithms extend this...

"This book analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided. Theories of modeling and solution techniques are used...

Scatter Search -- Experiments Using Scatter Search for the Multidemand Multidimensional Knapsack Problem -- A Scatter Search Heuristic for the Fixed-Charge Capacitated Network Design Problem -- Tabu Search -- Tabu Search-Based Metaheuristic Algorithm for Large-scale Set Covering Problems --...

Optimal control of dynamic econometric models has a wide variety of applications including economic policy relevant issues. There are several algorithms extending the basic case of a linear-quadratic optimization and taking nonlinearity and stochastics into account, but being still limited in a...

Policy makers constantly face optimal control problems: what controls allow to achieve certain targets in, e.g., GDP growth or inflation? Conventionally this is done by applying certain linear- quadratic optimization algorithms to dynamic econometric models. Several algorithms extend this...

Optimization Theory and Algorithms -- On the Asymptotic Behavior of a System of Steepest Descent Equations Coupled by a Vanishing Mutual Repulsion -- Inverse Linear Programming -- Second-Order Conditions in C1,1 Vector Optimization with Inequality and Equality Constraints -- Benson Proper...