Sentence examples for smallest objective from inspiring English sources

Moreover, in [9] it was shown that has the smallest objective function value for all possible choices of the variables with prespecified and fixed variables.

A first minimization process is run to explore this first chain and to determine the realization associated with the smallest objective function.

Let be the -dimensional vector representing the position of the th particle in the swarm, the position vector of the best particle in the swarm (i.e., the particle with the smallest objective function value), the position vector of the th particles personal best, and the velocity of the th particle.

Since the result of K-means depends on the initial centers, we repeat it with 10 random initializations from which the one resulting in the smallest objective function value is selected.

A small objective aperture was inserted to reduce diffraction effects.

The iterative process can be continued until a suitably small objective function or no further improvements can be determined.

The smaller objective functions at stations other than GIFH29 and KMMH14 suggest that EHVSRs and SRHSBs for identified underground velocity structures agree better with the observed counterparts.

For larger instances with size 42 ⩽ n ⩽ 70, the simulated annealing implementation obtained smaller objective values, while requiring a smaller number of function evaluations.

The consequence of smaller power index capacity is that more users are required to share, and probably a small objective function should be used due to the concavity of function that converts the power index to throughput.

Compared to the conventional QPSO algorithm, our surrogate-based optimization method can achieve a smaller objective function value and better calibration performance using a fewer number of expensive RZWQM2 executions, which greatly improves computational efficiency.

The comparison shows that the proposed MOF approach is superior to the SOF approach using varying the weighting factors in getting smaller objective function values, estimating better updated parameters, and taking less computational time.