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

Optimization is an approach that enables maximizing or minimizing any performance metric of a process or product, ensuring efficient resource utilization with minimal environmental effects. Multidisciplinary optimization employs cross-disciplinary interactions across a structure, component, system, process, or design to enhance its comprehensive performance.

When assessing an object or process demands substantial computational resources, developing metamodels becomes essential. These models simplify complex system behaviors through computationally efficient representations with reduced noise, created using methods like Genetic Programming, Moving Least Squares, or by integrating low- and high-fidelity simulations. Various optimization techniques, including evolutionary algorithms and gradient-based approaches, can then identify optimal solutions using these metamodels. Such models are also valuable for stochastic analysis and optimization, such as conducting extensive Monte Carlo simulations to evaluate system or process reliability and robustness.