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A deterministic method is proposed for solving the Boltzmann equation.
A stochastic optimisation algorithm is proposed for solving this problem.
A hybrid approach combining simulated annealing (SA) with Newton's method is proposed for solving this problem.
In this paper, a novel algorithm is proposed for solving multiobjective optimization problems.
A method is proposed for solving equations with random entries, referred to as stochastic equations (SEs).
A new time step selection procedure is proposed for solving nonlinear diffusion equations.
A new splitting is proposed for solving the Vlasov Maxwell system.
A genetic algorithm-based method is proposed for solving the expanded model.
A Fourier collocation scheme is proposed for solving the periodic problem of nonlinear Klein-Gordon equation.
A spectral tau-method is proposed for solving vector field equations defined in polar coordinates.
Furthermore, efficient Simulated Annealing (SA) heuristics are proposed for solving the problems.
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