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SORTAH minimizes the overall congestion effects of a transit network and leads to a better performing solution than that of a user equilibrium model, while simultaneously guaranteeing superior fairness compared to the pure system optimal model.
An interesting area of future work is to evaluate the solutions presented to determine the best performing solutions as a function of specific datasets.
In this case, achieving frequency and time synchronisation may require the support of backhaul based techniques, which rely on a well performing backhaul solution.
It consists in, from an initial solution, performing moves to reach a guiding solution, thus linking both solutions with a path, in which each step is associated with an intermediate solution.
A program performing the analytical solution is developed using the engineering equation solver software.
An iteration consists in (i) selecting a solution, (ii) performing local search on this solution for each objective/direction, thus producing a new solution in each direction and (iii) accepting or rejecting the newly produced solutions.
For this class of problems, we propose a new predictor-based heuristic that uses a distance criterion to perform the solution search.
Here, the carrier density is controlled by a partial ligand exchange, performed in solution.
Problems that are related to an edge-leak may be minimized, by performing an accurate solution correction just prior to insertion of the biopsy.
Adapting the aggregates with the new aggregation values is potentially a better solution than performing an expensive re-computation.
It is memetic meta-heuristic that is designed to seek a global optimal solution by performing a heuristic search.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com