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CA Markov model is considered to be one of most effective algorithm to visualise the growth of urban spatial structures.
It is shown that the method may be the most effective algorithm for the parametric history analysis (PHA) of structural vibration characteristics.
Hence, proposing the most effective algorithm (i.e., the one at once with the highest accuracy, fastest convergence, smallest number of parameters, most ease of use, etc).
Unpublished research (Nehm, unpublished data) suggests that Sequential Minimal Optimization (SMO) (Platt [1999]) is the most effective algorithm for the corpus used in EvoGrader.
Since the "most effective" algorithm to be used for finding the optimal solution of a given problem strongly depends on the specific instance to be solved, then the "best" results are often obtained by using hybrid algorithms, i.e., by combining different approaches, according to what can be called an optimization engineering technique.
The Monte Carlo analysis and reputation evaluation indicate that the CAPSO outperforms the standard APSO for finding the real optimal sizing result with much higher reputation, and CAPSO with logistic mapping strategy is the most effective algorithm for HEV powertrain components intelligent sizing.
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To our best knowledge, the most effective algorithms for fusion are based on covariance intersection (CI) [10, 11].
The JD LU + and JD QR + methods seem to be the most effective algorithms compared to the other methods.
Kurtosis-based impulsive component identification is one of the most effective algorithms in detecting localized faults in both gearboxes and rolling bearings.
In this paper, we first investigate the configuration landscapes of local minima reached by the WalkSAT local search algorithm, one of the most effective algorithms for SAT.
We first introduce several parallel implementation techniques for the SPH code, and then examine these on our target computer architectures to determine the most effective algorithms for each processor unit.
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