Computational complexity of art gallery problems
IEEE Transactions on Information Theory
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
ACM Computing Surveys (CSUR)
An Exact and Efficient Algorithm for the Orthogonal Art Gallery Problem
SIBGRAPI '07 Proceedings of the XX Brazilian Symposium on Computer Graphics and Image Processing
Estimating the Maximum Hidden Vertex Set in Polygons
ICCSA '08 Proceedings of the 2008 International Conference on Computational Sciences and Its Applications
Approximation algorithms to minimum vertex cover problems on polygons and terrains
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
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The problem of minimizing the number of guards placed on vertices needed to guard a given simple polygon (MINIMUM VERTEX GUARD problem) is NP-hard. This computational complexity opens two lines of in vestigation: the development of algorithms that determine approximate solutions and the determination of optimal solutions for special classes of simple polygons. In this paper we follow the first line of investigation proposing an approximation algorithm based on the general metaheuristic Genetic Algorithms to solve the MINIMUM VERTEX GUARD problem.