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In addition, results obtained with a conventional optimization method are presented, for comparison.
Time evolution simulations based on these method are presented for three different cases.
In this section, experimental clutter mitigation results with respect to KA algorithm and traditional SMI method are presented for comparison.
In Table 4, the performance metrics obtained by AMOSA algorithm and ∈-constraint method are presented for three examples.
Examples of the method are presented for plain water and water with three types of wildland fire suppressant.
Mathematical formalism and applications of the movable cellular automata (MCA) method are presented for solving problems of physical mesomechanics.
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A novel method is presented for fabricating PDMS-based microchannel.
The formulation of the method is presented for SDOF structures.
A heuristic method is presented for large networks.
A new method is presented for the path planning.
In[49], a blockiness assessment method is presented for block-based discrete cosine transform (BDCT) coded images.
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