12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
10 Sep 2008 - 12:00am
12 Sep 2008 - 12:00am
Etc/GMT+1
12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
10-12 September 2008 Victoria Conference Centre, Victoria, British Columbia, Canada
For over twenty years, the biennial AIAA/ISSMO Multidisciplinary Analysis and Optimization (MA&O) Conference has brought together industry practitioners, government employees, and academics to present and discuss the latest developments in multidisciplinary design, analysis, and optimization. Multidisciplinary analysis and optimization is rapidly becoming a standard element of contemporary design methodologies. With significant advances in computing algorithms and power, impressive analysis and optimization applications have been successfully carried out in industry, government, and academia alike. Additionally, theoretical developments ranging from new optimization algorithms to approaches for design system robustness and reliability have played a significant role in the ever-growing acceptance of multidisciplinary design and optimization. Historically, the MA&O Conference has provided a comprehensive view of the state-of-the-art. For the first time in its history, the MA&O Conference will be held outside the United States.
Multidisciplinary Design Optimization Software (Algorithms, Architectures and Frameworks,Visualization Methods)
Structural Optimization
Uncertainty Quantifications and Non-Deterministic Design
Non-Deterministic Design Optimization (Uncertainty Quantification and Analysis, Methods for Introducing Uncertainty in Design, Uncertainty Sources and Sampling Issues)
Reliability-Based Design (Method for Introducing Reliability in Design, Reliability in Coupled Multidisciplinary Systems, First and Second Order Reliability Methods)
Approximation Methods (Approximation Method Enhancements, Single and Multi-Point Approximations, Response Surface Methods, Kriging and Spline Approximations, Neural Networks and Fuzzy Logic, Reduced Order Modeling)
Modeling Methods (Variable Complexity Modeling, Model Validation, Crashworthiness, Visualization)
High-Performance Computing
Parallel Computing
Shape and Topology Optimization
Shape and Topology Optimization Theories
Shape and Topology Optimization Approaches
Aerodynamic Shape Optimization
Optimization Methods
Multi-Criteria Optimization
Gradient-Based Optimization
Evolutionary Optimization
Fuzzy Optimization
Design
Approaches for Technology Assessment, Evaluation, and Selection