Global Topology Optimisation
Abstract
The aim of the proposal is to develop a global topology optimization methodology that can explore global and multiple optima in a design space, within a practical limit of computational resources. All established topology optimization methods employ gradients to search for a single design, which may be either a local or global optimum. Previous methods that attempt to obtain the global optimum have typically utilized non-gradient based population search methods, which have not been successful due to the high dimensional space of topology optimization. This proposal will investigate the feasibility of a global optimization method for multimodal topology optimization inspired by parallel tempering. The objectives are: 1. To develop a global optimization method based on numerical gradients, random noise and parallel tempering. 2. To characterize local and global minima in benchmark multi-modal optimization problems. 3. To investigate the diversity of the local and global minima in topology optimization.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 23, 2016
- Source ID
- FA95501510317
Entities
People
- Robert L. Jack
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Bath