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Then, several strategies are proposed to enhance the solution accuracy capability of the DGA.
This paper presents an efficient decomposed GA to enhance the solution of the optimal power flow (OPF) with non-smooth cost function and under severe loading conditions.
Numerical examples demonstrate that the proposed approach does can overcome the bottleneck problems associated with a 3D topology optimization problem in a straightforward way and enhance the solution efficiency significantly.
To enhance the solution of the resulting mixed-integer nonlinear programming models, we develop (1) new methods for the calculation of steam properties, (2) algorithms for variable bound calculation, and (3) systematic methods for the generation of redundant constraints.
To enhance the solution quality and efficiency, a stochastic perturbation procedure is introduced to generate reliable initial guesses for the deterministic optimization procedures and also, an interactive iteration method is developed to guide the search toward a potential global optimum.
Recent developments in computer hardware regarding graphics processing units (GPU -accelerated computinGPU -accelerateden very promising due to their advancomputingilities and have been used in a number of scientific fields in order to enhance the solution of comprovenonally high demanding problems.
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Due to the shortcomings of most host-based approaches, there is a constant need to enhance the solutions provided.
We argue that explicit vertical alignment efforts could bring project-specific issues to the attention of the management level at which horizontal alignment efforts could really enhance the solutions.
The conductivity of the polymer solution increased with increasing PVA and clindamycin concentrations, and increasing the PVA concentration enhanced the solution viscosity.
The core-based approach in multipoint communication enhances the solution space in terms of QoS-efficiency of solutions in inter- and intra-domain routing.
Hence, the proposed algorithms, especially the DE-SK, can be used to solve various practical cases of GAP and other combinatorial optimization problems by enhancing the solution quality, while still maintaining fast computational time.
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