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(iii) Crossover process Two crossover processes are discussed below: Single-point crossover: For each pair of parent solutions, (PY_1=(py_{11},ldots2},py_{1m}y_{1m})) and (PY_2=(py_{21},ldots2},py_{2m}y_{2m})), selected for crossover, an integer position k is selected randomly in the range [1, m], for crossover operation, where m is the length of a solution.
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The adaptive method is based on the definition of edge length using a solution dependent metric and produces strongly anisotropic meshes.
Logical analysis of 2D NMR data frequently allows for the detection of the presence of COSY and HMBC correlations of "nonstandard" length and provides a solution to the problem.
Last, we add a constraint for the total length of the solution.
If the length of the solution vector D is large, it makes inefficiency improvement in each cycle.
The dependence of this relation on the Debye length of the solution and the initial fluid pressure in the membrane is also investigated.
(vii) A solution is admissible, if and only if (a) it respects (ii), i.e. for every source edge at least one corresponding candidate edge is used in it (but not necessarily for that respective source edge, see the case n = 0 in (iii)), and (b) the length of the solution does neither exceed 120% nor fall below 80% of the length of the source route matched by this respective solution.
The first one searches for the best damping factor which effectively determines the optimum direction of the solution vector in the multi-dimensional variable space, and the second search is conducted along that direction to find the optimum length of the solution vector.
To obtain a measure of the precision of the data, we recorded radial scans and averaged them over the entire length of the solution column.
To prepare an electrode for use, it was first back-filled using a disposable plastic Pasteur pipette (Phenix Research Products, Candler, NC, USA; cat # PP-137030) heat-pulled to a fine filament, with a 1 cm length of solution containing 100 mM of the ion to be measured.
They approached the problem as a minimum Hamiltonian path problem, and used memetic algorithms to find the "solution that minimizes the length of a path of distances between species" [ 8].
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