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A solution approach based on fuzzy programming is developed for solving the optimization problem.
A modified PSO algorithm is developed for solving multi-physics engineering optimization problems.
Then a germane mathematical programming model is developed for solving this problem.
In this paper an efficient hybrid algorithm is developed for solving such optimization problems.
A genetic algorithm approach is developed for solving the problem with acceptable performance.
A multi-level spatial optimization (MLSOPT) approach is developed for solving complex watershed scale optimization problems.
A numerical solution procedure is developed for solving the hypersingular time-domain traction BIE.
A new implicit algorithm is developed for solving the time-dependent, nonideal magnetohydrodynamic equations.
In this paper a hybrid algorithm including Tabu Search and exact method is developed for solving the problem.
In this paper, a new nonpolynomial cubic spline method is developed for solving two-parameter singularly perturbed boundary value problems.
In this paper, a new DBC method is developed for solving complex engineering problems by using silicon-based computing machines.
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