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In this paper, we propose a new synthesis method that generates optimized protocol specification.
Enhanced by an adapted robust formulation for controlling the minimum length scale of the base, our method generates optimized shell infill composites suitable for additive manufacturing.
Our method builds upon two recently developed approaches that extend density-based topology optimization: A coating approach to obtain an optimized shell that is filled uniformly with a prescribed porous base material, and an infill approach which generates optimized, non-uniform infill within a prescribed shell.
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It is however reasonable to assume that the functional form in Eq. (2) may render general for generating optimized SF networks.
Instead of directly generating optimized code, we extend an optimizing compiler to output its optimization decisions in POET, a scripting language designed for extensive parameterization of source-to-source program transformations.
Mutation helps in generating optimized combinations.
These algorithms generate optimized solutions when they exist.
GA is then employed on the fuzzy clusters for generating optimized fuzzy clusters.
In this section, we present an iterative method to generate optimized frequency-domain OFDM symbols.
Generating optimized surfaces for different types of substrate materials (e.g. Al-alloys, case hardened steels, etc).
The recursive filter-refinement procedure (RFRP) has been used to generate optimized clustering for variable density combustion simulations.
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