Emerging Methods for Multidisciplinary Optimization

This volume provides an up-to-date overview of major advances, emerging trends, and projected industrial applications in the field of multidisciplinary optimization. It concentrates on the current status of the field, exposes commonalities, innovative, promising, and speculative methods. This book provides a view of today's multidisciplinary optimization environment through a balenced theoretical and practical treatment. The contributors are the foremost authorities in each area of specialisation.

Inhalt
Multidisciplinary Optimization Procedure in Design Processes: Basic Ideas, Aims, Scope, Concepts (H. A. Eschenauer); Old and New Non-Gradient Methods in Engineering Optimization (J. Blachut); Optimal Engineering Design by Means of Stochastic Optimization Methods (K. Marti); Response Surface Approximations for Engineering Optimization (A. J. G. Schoofs, J. J. M. Rijpkema); Modelling and Approximation Strategies in Optimization: Global and Mid-Range Approximations, Response Surface Methods, Genetic Programming, Low / High Fidelity Models (V. V. Toropov); Strategies for Modeling, Approximation, and Decomposition in Genetic Algorithms Based Multidisciplinary Design (P. Hajela)