Abstract
The problem of multiple observers sitting on terrain (MOST) is an important part in visibility-based terrain reasoning (VBTR), but it is difficult because of the unacceptable computing time. Recent developments in this field focus on involving spatial optimization techniques, such as a heuristic algorithm. In this paper, a new method is developed based on the Improved Simulated Annealing (ISA) algorithm through the analysis of different terrain characters. A new annealing function and a new state function are designed to make the improved algorithm fit the problem better. Experiment results show that without loss of precision, use of the ISA algorithm reduces time cost 50%~70% when compared with the traditional SA.
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Lv, P., Zhang, Jf., Lu, M. (2006). An Optimal Method for Multiple Observers Sitting on Terrain Based on Improved Simulated Annealing Techniques. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_41
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DOI: https://doi.org/10.1007/11779568_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35453-6
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