Michael Retchin edited Optimization Models.tex  over 9 years ago

Commit id: 3930db1f31a424705026e3d31dde85f9d98a1fbb

deletions | additions      

       

\subsection{Problem analysis}  \subsection{Solution}  A 100x100 In general, a 100✕100  square lattice (representing 5cm by 5cm) was used to generate random tumors of discrete shapes and sizes. A Circles were then placed randomly on the lattice, and a  genetic algorithm was used to optimize for an $F_1$ score, described. FS score is F1 (with the accuracy [how much of the tumor is filled with circles] circle placement  and the precision [how much of the shots are filled with tumor]) divided by the number of shots. radii for accuracy.  And obviously we can just tell it not to overlap (i.e., a sphere packing problem).