Minimizing movement: Fixed-parameter tractability
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Demaine_Minimizing movement fixed.pdf
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Author(s)
Demaine, Erik D.
Hajiaghayi, Mohammad Taghi
Marx, Daniel
Date Issued
September 2009
Journal
Algorithms - ESA 2009. Proceedings of the 17th Annual European Symposium, Copenhagen, Denmark, September 7-9, 2009.
Publisher
Springer Berlin / Heidelberg
Citation
Demaine, Erik, MohammadTaghi Hajiaghayi, and Dániel Marx. “Minimizing Movement: Fixed-Parameter Tractability.” Algorithms - ESA 2009. Springer Berlin / Heidelberg, 2009. 718-729-729.
Version
Author's final manuscript
Abstract
We study an extensive class of movement minimization problems which arise from many practical scenarios but so far have little theoretical study. In general, these problems involve planning the coordinated motion of a collection of agents (representing robots, people, map labels, network messages, etc.) to achieve a global property in the network while minimizing the maximum or average movement (expended energy). The only previous theoretical results about this class of problems are about approximation, and mainly negative: many movement problems of interest have polynomial inapproximability. Given that the number of mobile agents is typically much smaller than the complexity of the environment, we turn to fixed-parameter tractability. We characterize the boundary between tractable and intractable movement problems in a very general set up: it turns out the complexity of the problem fundamentally depends on the treewidth of the minimal configurations. Thus the complexity of a particular problem can be determined by answering a purely combinatorial question. Using our general tools, we determine the complexity of several concrete problems and fortunately show that many movement problems of interest can be solved efficiently.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1007/978-3-642-04128-0_64
