A surrogate-based optimization method for mixed-variable aircraft design
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DOI: 10.1080/0305215x.2020.1855156
Abstract: Aircraft optimization design problems are mostly computationally intensive. These complicated problems probably contain mixed-variables, while most research has focused on continuous variables. This article sets up a mixed-variable surrogate-based optimization algorithm framework that includes a… read more here.
Keywords: optimization; surrogate based; method; mixed variable ... See more keywords
Simple K-Medoids Partitioning Algorithm for Mixed Variable Data
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DOI: 10.3390/a12090177
Abstract: A simple and fast k-medoids algorithm that updates medoids by minimizing the total distance within clusters has been developed. Although it is simple and fast, as its name suggests, it nonetheless has neglected local optima… read more here.
Keywords: distance; variable data; simple medoids; partitioning algorithm ... See more keywords