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The PSOStr, however, outperformed the other methods in terms of both solution accuracy and computational cost (i.e. function evaluations).
A comparative analysis with other settled nature-inspired solution algorithms demonstrates the superior performance of the proposed methodology in terms of both solution accuracy and convergence performances.
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Numerical results are presented for a two-dimensional model problem, and both the solution accuracy and convergence rate are investigated.
The experimental results demonstrate that GPBO can provide better solution accuracy and convergence ability in both large scale benchmark functions and real-world optimization problem.
The adaptive algorithm performs both stepsize and order selections to control respectively the solution accuracy and the computational efficiency of the time integration process.
The solution accuracy and the code performance are evaluated through one-dimensional and two-dimensional consolidation problems.
The feasibility of the strategies is demonstrated, and their solution accuracy and efficiency are also compared with each other.
I-ABC produces better results than the original ABC algorithm in terms of solution accuracy and success rate.
The grid resolution is analyzed to determine an appropriate grid size that will optimize the solution accuracy and time.
We employ a modified majorization-minimization (MM) technique to tackle with the subproblem, enabling its solution accuracy and implementation efficiency.
The highly parallelized solution algorithm makes use of modern finite-volume numerical methodology to provide a combination of high solution accuracy and computational robustness.
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CEO of Professional Science Editing for Scientists @ prosciediting.com