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Our next endeavor is to develop optimal solutions for this problem.
Simulation optimization methods are used to develop optimal solutions for a variety of groundwater management problems.
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This research builds on prior work on developing near optimal solutions to the product line design problems within the conjoint analysis framework.
We identified optimal structures in this problem and developed optimal as well as efficient approximation solutions for this problem.
We developed optimal and heuristic S-IDNC coding algorithms that minimize the solution size and increase packet multiplicity.
Future research will therefore develop sub-optimal solutions for dynamically recalculating the assignment of processors to RAs and so adapt to varying traffic loads in very large-scale computing systems.
Even though multiple transfer approaches have been developed, an optimal solution is still not available.
In the future, if the energy density of the storage medium is improved and the rapid charging technology is developed, the optimal solution will be changed.
The solution procedures are also developed to get the optimal solutions of these two models.
The exact solution, although not implementable in real time, is shown to possess certain properties that can be used to develop near fuel optimal solutions that are implementable in real time.
Developing successful and optimal solutions to mitigating the hazards of severe space radiation in deep space long duration missions is critical for the success of deep-space explorations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com