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Second order convergences are numerically achieved in solving dispersive interface problems with constant curvatures, general curvatures, and nonsmooth corners.
Despite many research studies have concentrated on designing heuristic and meta-heuristic methods for the discrete time cost trade-off problem (DTCTP), very little success has been achieved in solving large-scale instances.
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The efficiency achieved in actually solving the problem may be then counterbalanced by the effort required to model the system and validate the analytical expressions used to set the problem.
A new solution approach is applied for the proposed 7-layer network of the case study and the solutions are achieved in order solve the current difficulties of the investigated supply chain.
In recent years, learning features from unlabeled data using unsupervised feature learning and deep learning approaches have achieved superior performance in solving many computer vision problems [22 25].
These theoretical tools have achieved great successes in solving the multiscale difficulties arising from metal binding, and provided new insights into the mechanisms of metalloprotein folding.
Compared with greedy and dynamic programming algorithm, the algorithm has achieved excellent results, especially in solving discrete problems.
The choice of this particular heuristic for our protocol is motivated by the work of Brimberg et al. who report in [25] that VNS consistently achieved the best results in solving the heaviest k-subgraph problem.
This document expressed the purposes and principles of the organization, chief among them to "maintain international peace and security" and "achieve international co-operation in solving international problems of an economic, social, cultural, or humanitarian character".
For the number of objective comparisons, the generalized Jensen's sort still performs the best for three-objective DTLZ2, but ENS-SS can achieve the best efficiency in solving two-objective DTLZ2.
Extensive experiments show CAOI achieves a better performance in solving storage allocation problem than other state-of-the-art methods, which synchronously optimizes the container transportation distance, the number of allocated yard-bays and rehandles.
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CEO of Professional Science Editing for Scientists @ prosciediting.com