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One diversification method that did not work well in the third quarter was investing abroad.
Our proposed scheme relies on a model-based diversification method and an ordered cache.
Our proposed scheme, called AdOr, relies on two main interrelated components, namely: (1) an adaptive model-based diversification method and (2) an order-based caching scheme.
In particular, AdOr employs an adaptive model-based diversification method to estimate the diversity of a diverse subset and hence selects diverse results without scanning all the query results.
The relative contribution of recombination and mutation on the short term was calculated using eBURST and the clonal diversification method [90], [91].
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Here we review recent advances from this field by scrutinizing commonly applied diversification methods and highlighting crucial strategies for the minimization of experimental effort.
Therefore, the computational cost of diversifying N queries in a session increases linearly with the increase in N. Hence, in this work we address the problem of designing efficient diversification methods that are scalable to N, i.e. length of a user session.
In the absence of a good fossil record, distinguishing between the two scenarios remains difficult even using the most sophisticated diversification methods [ 49].
First, the lack of resolution in our genus-level tree, with low PPs for most nodes within the radiation, leads to many of the genera not being retrieved as monophyletic, thus preventing the use of diversification methods that allow the assignment of unsampled species richness to well-defined tree terminals (e.g. Medusa; Alfaro et al., 2009).
The Scatter Search mainly consists in a diversification generation method to generate the initial population, a combination method to create new offspring and an improvement method to intensify the search.
When the initial population is empty, a new population is created by using the diversification generation method previously explained in Section 2.1.
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