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If, then the previously searched direction may have deviated from the correct path and set to obtain the seven neighboring points for direction searching, going to step 5. Otherwise, stop the search procedure, and go to step 10.
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The choice of a new searching direction leads to quite different in establishing the convergence result of Algorithm 3.1.
In addition, the searching directions in [7] and our algorithm are also different.
In the novel SA, the probability matrix is designed as a probabilistic neighbor-generation procedure to guide the searching directions.
Calculate the search direction (d_{k+1}) by (2.1).
Intuitively speaking, x represents a search direction.
(Gradient with respect to the search direction).
At the current iterate point, determinate a search direction: (3.8).
Let { d k } be the sequence of search direction.
GD: the final norm evaluations of search direction (d_{k}).
We refer to this search direction as "top-down".
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CEO of Professional Science Editing for Scientists @ prosciediting.com