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The heuristic defined there uses a greedy approach handling, among other parameters, the willingness of nodes to participate in the routing process and the vertex degree.

We compare the results for the functions and pdfs in Fig. 1 with the following estimators: equal count of samples, count inversely proportional to variances of independent techniques [9], the new heuristic defined in Section 6 of this paper, optimal count in [11], and the two new balance heuristic provably better estimators defined in Sections 4 and 5.

Finally, a tabu search strategy that uses as its neighborhood the solution space that the local heuristics define is presented.

The very few generic heuristics defined for CSP, as ConflictVar or H-PGLNS, are not well suited for WCSP.

Montello (1991) suggests that the difficulty in keeping in mind routes with turns, or those ones that are not perfectly straight, can be attributed to the heuristics defined by Tversky (1981).

Therefore, the heuristic is defined as.

Observe that (hat {F}) is the balance heuristic estimator defined in Eq. 12 where the N i ∝σi,eq.

Therefore, the heuristic is defined as H_{13} = left{ {begin{array}{*{20}c} {if;hyphenleft( {hostname} right) > uplambda to Phishing URL} {else,;Legitimate URL} end{array} } right.

Therefore, the heuristic is defined as H_{10} = left{ {begin{array}{*{20}c} {if;(Keyword;in the path portion;of URL ) to Phishing URL} {else,;Legitimate URL} end{array} } right.

Therefore, the heuristic is defined as H_{9} = left{ {begin{array}{*{20}c} {if;( Subdomain;in URL ) to Phishing URL} {else,;Legitimate URL} end{array} } right.

Therefore, the heuristic is defined as H_{8} = left{ {begin{array}{*{20}c} {if;( URL is;http) to Phishing URL} {else,;Legitimate URL} end{array} } right.

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