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The authors use a local search algorithm for determining local optima in the solution space.
We use a local search (LS) procedure employing a heuristic improvement to standard simulated annealing (SA) to solve the APG problem.
Instead we use a local search in the neighbourhood of the current input position and of the current reference position.
We will use a local search in the DAG space with the classical operators of arc addition, arc deletion and arc reversal.
The idea is to use a local search based hill climbing heuristic to traverse through the search space of possible species tree.
Because the size of the search space grows exponentially with the number of proteins in each network, we use a local search technique adapted from other NP-hard optimization problems, which is described in detail in the following subsection.
Similar(52)
Liao et al. (2012) have used a local search technique to improve the efficiency of PSO.
Liao et al. (2012) have used a local search technique to PSO.
The benchmarks use a heuristic approach, which means using a local search algorithm to browse for feasible solutions.
For example, Wang et al. (2011) have used a local search technique to SA to improve solution quality.
As mentioned, in SA algorithm, the quality of solution is improved by searching for a neighbouring solution using a local search technique.
More suggestions(15)
use a generic search
use a vigorous search
use a local lager
use a parallel search
use a local interaction
use a local distance
use a local machine
use a local currency
use a local interconnection
use a sophisticated search
use a local city
use a local polynomial
use a simultaneous search
use a local trend
use a local stand
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