This paper describes Evolutionary strategies utilising multilevel architectures for the reduction in computational expense associated with the optimisation of a highly dimensional structural design problem. The initial utilisation and comparison of basic evolutionary approaches leads to the introduction of high-performance evolutionary and adaptive search algorithms in order to improve performance within the high dimensional space that describes the component topology. A requirement for computationally expensive finite element analysis provokes the development of a sequential method for Dynamic Shape Refinement (DSR) in an attempt to minimise calls to the fitness function and further improve solution performance. This leads to the utilisation of distributed, co-operative injection island strategies and the development of strategies both for the dynamic refinement of component representation and the introduction / removal of differing search algorithms within the injection island architecture.

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