Exact solutions and bounds for general art gallery problems

ACM Journal of Experimental Algorithmics(2012)

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摘要
The classical Art Gallery Problem asks for the minimum number of guards that achieve visibility coverage of a given polygon. This problem is known to be NP-hard, even for very restricted and discrete special cases. For the case of vertex guards and simple orthogonal polygons, Cuoto et al. have recently developed an exact method that is based on a set-cover approach. For the general problem (in which both the set of possible guard positions and the point set to be guarded are uncountable), neither constant-factor approximation algorithms nor exact solution methods are known. We present a primal-dual algorithm based on linear programming that provides lower bounds on the necessary number of guards in every step and—in case of convergence and integrality—ends with an optimal solution. We describe our implementation and give experimental results for an assortment of polygons, including nonorthogonal polygons with holes.
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classical art gallery problem,general art gallery problem,optimal solution,general problem,exact method,discrete special case,exact solution method,necessary number,constant-factor approximation algorithm,minimum number,exact solution,duality,linear programming,geometry,visibility,set cover,linear program,art gallery problem,lower bound
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