DLSFDiscretionary Learner Support Fund (UK)
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So a bidirectional evolutionary algorithm is developed by integrating both the DLSFs and topological derivatives into the optimization criteria of the BESO method [25].
The final DLSFs corresponding to the stable topological solution can be transformed into the LLSF within the initial narrowband [T.sub.0] by iteratively solving the DRE under reverse diffusion constraints.
Topological results given by this algorithm are characterized by a smooth boundary attributed to the structural model described by the DLSFs. By comparing Figures 6(e) and 6(f), the sharp level set surface corresponding to the DLSFs has been successfully converted into a smooth one related to a local level set function by iteratively solving the DRE at the initial stage of the LLSM.