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Several search algorithms for the interpolation of data associated with unstructured grids are reviewed and compared.
For example, the software package SAS offers several search algorithms to determine the most efficient design of a given experiment [23].
Nowadays, a promising way to obtain hybrid metaheuristics concerns the combination of several search algorithms with strong specialization in intensification and/or diversification.
Among several search algorithms, stepwise forward-backward based feature selection coupled with MLR is the most popular method for building quantitative models and can explain the situation more effectively [60].
For that purpose several search algorithms have been devised, ranging from simple heuristic approaches [26, 27] which perform a "greedy" search of the best subsets of variables such as forward selection, backward elimination or stepwise procedures to further elaborate methodologies including simulated annealing [28] and evolutionary programming [29] such as genetic algorithms [30].
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Over the past few years, several local search algorithms have been proposed for various problems related to multicast routing in the off-line mode.
Our proposed algorithm comprises of a tabu search and a variable neighborhood search with several local search algorithms.
In the research literature, several deterministic search algorithms have been linked with simulation for industrial applications; but there are few empirical comparisons of the various algorithms.
Pivots have earlier been used in the database community for several similarity search algorithms [ 14].
Gibbs sampling has been successful in several other TFBS search algorithms [ 40- 46] but is not normally used in conjunction with HMMs.
Several metrics and search algorithms were employed in combination in order to optimize the sensitivity of the results to the learning procedure scoring metric [ 82]; the Tabu Search algorithm was used to optimize the Bayes (BDe) score as the selected scoring metric.
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