This book provides successful implementations of metaheuristic methods for neural network training. It is the first book to achieve this objective. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own....

Part I: Advanced Tutorials -- Supporting Time-Critical Decision Making with Real Time Simulations -- Metamodel-based Robust Simulation-Optimization: An Overview -- Simulation-Based Modelling of a Stochastic Equilibrium -- Part II: Uncertainty Management Using Sequential Parameter Optimization --...

Optimization problems arising in practice involve random parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insensitive with respect to random parameter variations, deterministic substitute problems are needed. Based on the distribution of the random data,...

Einführung -- Materialplanung bei konventioneller und kreislaufgeführter Produktion -- Materialplanung bei externen Produktkreisläufen -- Materialplanung bei internen Produktkreisläufen -- Schlussbetrachtung.

Many optimization questions arise in economics and finance, an important example of this is the society's choice of the optimum state of the economy (the social choice problem). Optimization in Economics and Finance extends and improves the usual optimization techniques, in a form that may be...