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Michael Retchin edited Optimization Models.tex
over 9 years ago
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\section{Approach to solution} \section{Solution}
In general, a 100✕100 square lattice (representing 5cm by 5cm) was used to generate random tumors of discrete shapes and sizes. Non-intersecting circles were then placed randomly on the lattice, and a genetic algorithm was used to optimize circle placement and radii for accuracy. At no point was a circle allowed to intersect with another. In this way, the problem was generalized to a problem of circle-packing within randomly sized polygons within a square lattice.