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The solution of combinatorial optimization problems usually involves the consideration of many possible design configurations.
These parameters have to be considered for many compartments constrained by a limited space, so this problem is complex and with many possible design alternatives.
There are many possible design improvements particularly focused on reducing deflections in the mechanical components that can be explored and implemented to improve the overall dimensional accuracy of the flexible system, but these investigations are left for future research.
Design tools supporting this methodology allow very fast to implement, check and estimate many possible design versions, to find an optimized decision of the design problem and to simplify the verification problem for digital systems.
A water reuse system is likely to have many possible design options: type and degree of treatment, number and location of treatment plants, number and location of pumps/pumping stations, number, size and location of storage tanks, layout and size of distribution pipe network.
To account for these factors the process will use a sensitivity analysis approach to consider many possible design cases, this approach involves the creation of a large number of randomly created cases, all with different input values and giving different factors of safety.
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Yet, this can lead to many possible designs which have to be compared.
Many possible designs exist, ranging from the simple two-period two-treatment designs to those with many treatments and periods.
There are many possible designs for electrode E1, both a solid metal rod and metal capillary tube were tested allowing probe liquid to be dispensed either within electrode E1 or around it.
However, engineering biology is complex, and many possible genetic designs must be evaluated to find cells that produce high levels of a desired drug or chemical.
There are many possible system designs and, within a single system, different setup options which can affect the final image leading to significant variation in image appearances.
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