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Therefore, one natural problem is whether the splitting method can be developed for solving (1.1).
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Meta-heuristics are developed for solving computationally demanding RA problems.
Meanwhile, conjugate gradient techniques have been developed for solving large-scale nonlinear equations (see [5 7]).
To overcome all these shortcomings, FDAHP was developed for solving the hierarchical problems.
In [28], a refined genetic algorithm (RGA) was developed for solving OPF problem.
A solution approach based on fuzzy programming is developed for solving the optimization problem.
Then a germane mathematical programming model is developed for solving this problem.
In this paper, central discontinuous Galerkin methods are developed for solving ideal magnetohydrodynamic (MHD) equations.
An Ant Colony based Timetabling (ANCOT) tool has been developed for solving timetabling problems.
A modified PSO algorithm is developed for solving multi-physics engineering optimization problems.
Inspired by fireflies behavior in nature, a firefly algorithm has been developed for solving optimization problems.
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