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This additional mechanism leads to a noticeable improvement of convergence times (Fig. 6c) and a much higher percentage of convergent cases (Fig. 6d).
In the simulation section, the improvement of convergence achieved by variable step size method is also illustrated.
Similar(58)
In this paper we shall first develop the methods in [2] to the continuous time situation, which leads to considerable improvements of convergence rates.
As is shown in Figures 5, 6, and Table 5, similar conclusions could be obtained that D-ABC algorithm has certain advantages over other algorithms, which lead to greater improvement on convergence rate and quality of solution, especially when D is larger.
It provides an improvement of complete convergence for negatively associated random variables by Kuczmaszewska [1] and conditions for complete moment convergence for a nonstationary sequence of negatively associated random variables.
This modification makes an improvement of the convergence speed of about 30%.
First results show a clear improvement of the convergence especially in problems where significant coolant density gradients appear.
The next subsections deal with the improvement of the convergence threshold of 3D TCs for transmissions over Rayleigh fading channels.
We noticed that the Logarithmic transformation of the HBV recession coefficients leads to 20% improvement of the convergence speed.
Results for different blade cascade geometries showed the improvement of the convergence rate and the robustness of the method, for the imposed set of design conditions.
The improvement of the convergence performance to the ground state given by the multi-direction search is shown through comparisons with the conventional steepest descent method.
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