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The results show the algorithm's high efficiency, as it can produce good quality solution in an acceptably short time.
The proposed FA in the CR networks is based on the efficient heuristic based algorithms that can run reasonably fast and provide a good quality solution.
The proposed method presents some relevant points; it processes categorical large data sets rapidly, without any prior settings or sampling method, and guarantees a good quality solution in a reasonable time.
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The objective is to coordinate agents to reach good quality solutions in a distributed way.
These heuristics were tested with real data from a Lisbon hospital and yielded good quality solutions.
The heuristic method provides good quality solutions while significantly improving computation times.
Meantime, the proposed heuristic approach is computationally efficient in finding good quality solutions for the LRPSPD.
Also, we develop an effective MIP-based tree partitioning heuristic for finding good quality solutions for large size problems.
The algorithm uses greedy rules in order to lead the search towards good quality solutions during reproduction and mutation phases.
Numerical experiments for container shipping on the Asia Europe trade lane show that the proposed solution algorithm is efficient to find good quality solutions.
The results show that the proposed local search methods are an efficient way of obtaining good quality solutions to implement in practice.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com