Abstract
The problem of locating p maximally dispersed points in a convex space is considered. This problem is formulated as a non-linear programming problem. It is shown that this problem, in a square, is equivalent to the problem of packing the square with p equal circles of largest possible radius. Computational experience with the non-linear programming formulation of the dispersion problem is reported. Four of the solutions found are superior to the best known solutions in the literature for the corresponding circle-packing problem.
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