MSc by Research in Energy Efficient Aerospace and Automotive Structures - Multidisciplinary Optimisation in Leeds United Kingdom | University of Leeds

Optimization is an approach that enables the maximization or minimization of any performance metric for a process or product, ensuring efficient resource utilization with minimal environmental impact. Multidisciplinary optimization leverages the interconnected relationships between various applications of a structure, component, system, process, or design to enhance its overall effectiveness.

When evaluating the performance of an object or process demands substantial computational effort, developing and employing metamodels becomes essential. These models simplify the system's complex behavior using computationally efficient, low-noise representations, created through methods like Genetic Programming, the Moving Least Squares Method, or by combining low- and high-fidelity simulation models. Various optimization techniques, such as evolutionary algorithms and gradient-based methods, can then identify optimal solutions using these metamodels. Additionally, such models are valuable for stochastic analysis and optimization, where extensive Monte Carlo simulations can assess a system or process's reliability and robustness.