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Improving Depth-First Search Algorithm of VLSI Wire Routing with Pruning and Iterative Deepening

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 237))

Abstract

A depth-first search (DFS) algorithm requires much less memory than breadth-first search (BFS) one. However, the former doesn’t guarantee to find the shortest path in the VLSI (Very Large Integration Circuits) wire routing when the latter does. To remedy the shortcoming of DFS, this paper attempts to improve the DFS algorithm for VLSI wire routing by introducing a method of pruning and iterative deepening. This method guarantees to find all of the existing shortest paths with the same length in the VLSI wire routing to provide the wire routing designers more options for optimal designs.

The work was supported by the Natural Science Foundation of Fujian Province (No.2009J05142), the Talents Foundation (No.0220826788) and the Scientific & Technological Development Foundation (No.2011-xq-24) of Fuzhou University.

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© 2011 Springer-Verlag Berlin Heidelberg

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Deng, X., Yao, Y., Chen, J. (2011). Improving Depth-First Search Algorithm of VLSI Wire Routing with Pruning and Iterative Deepening. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_14

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  • DOI: https://doi.org/10.1007/978-3-642-24282-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24281-6

  • Online ISBN: 978-3-642-24282-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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