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The algorithms of SA employ a stochastic generation of solution vectors.
In case a solution is rejected by repair procedure the k means clustering is applied to reproduce the new generation of solution.
In this article, these three techniques are briefly introduced as follows [27]: (1) The algorithms of SA employ a stochastic generation of solution vectors.
In this paper we describe a new method for generation of solution adaptive grids based on harmonic maps on Riemannian manifolds.
It has been shown that a functional reasoning approach cannot guarantee the generation of solution concepts, which are combinations of known solutions, unless guided by the knowledge of existing solutions.
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So a systematic generation of solutions is possible.
That's what I think the next generation of solutions will look like.
And we will continue to make big investments in the next generation of solutions for education.
We propose ordered vertex coloring to order the generation of solutions.
Employing k means clustering for obtaining first generation of solutions yields some advantages.
The methodology is a promising tool for systematic generation of solutions for sewer system control.
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