Overview of Methods for Multi-Level and/or Multi-Disciplinary Optimization
Author(s) -
A.J. de Wit,
Fred van Keulen
Publication year - 2010
Publication title -
research repository (delft university of technology)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2010-2914
Subject(s) - computer science , discipline , sociology , social science
Multi-level optimization and multi-disciplinary optimization are areas of research that are concerned with developing efficient analysis and optimization techniques for complex systems that are made up of coupled elements (components). Within the field of multilevel optimization and multi-disciplinary optimization a large number of techniques have been developed for efficient analysis and optimization of complex systems. This paper presents an unified overview of main stream approaches that were found in the literature. Four general steps are distinguished in both multi-level optimization and multi-disciplinary optimization: physical coupling, optimization problem coupling, coordination and solution sequence. Via these four steps approaches are classified and possibilities for combining aspects of different methods are given. Finally, advantages and disadvantages of approaches applied to engineering problems are discussed and directions for further research are given
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom