We find this problem as interesting as the reviewer, however, its answer will become a complicated study, and will have to be addressed on its own in the future.
We found that this problem is solvable in polynomial time under some special sensor configurations.
We found that this problem is solved efficiently, and introducing a full-cycle formulation has the potential to improve the performance of SMB, as shown through single and multi-objective optimization studies.
However, we found that this problem can be solved without introducing hidden elements if each element in the first layer can be selectively desensitized to take a neutral value (0).
Later, we found that this problem could be mitigated by addition of 17 20 mM each of dATP, dCTP, dGTP, and dTTP ("dNTPs") to the DNA/MgCl2 injection mixture, which increased group II intron-integration frequencies in suboptimal oocytes to >3% (not shown).
In addition, we found that this problem could be overcome when we used correlation ranks instead of correlation values.
As Stanton writes: "We find this faster reading vs. naming problem astonishing because when we were children, it was the other way around".
In this case, we try to transform indoor localization problem into an optimization problem, and then, we find that this problem can be optimized by particle swarm optimization (PSO) algorithm.
"When we found problem areas, we've addressed them as quickly as we could".
