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HS-ROBDD: an efficient variable order binary decision diagram

Published: 08 July 2009 Publication History

Abstract

Reduced Ordered Binary Decision Diagrams (ROBDDs) are frequently used as the representation of choice to solve various CAD problems such as synthesis, digital-system verification and testing. The size of an ROBDD for a function can be increased exponentially by the number of independent variables of the function that is called "memory explosion problem". Since the size of an ROBDD heavily depends on the variable order used, there is a strong need to find variable orders that minimize the number of nodes in an ROBDD. As finding the optimal variable ordering is an NP-Complete problem, in this paper, we use Harmony Search (HS) to find an optimal variable ordering in binary decision diagram. Some benchmarks form LGSynth91 are used to evaluate our suggestion method. Obtained results show that this method has the ability to find optimal order of input variable and reduce the size of ROBDD considerably.

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    cover image ACM Conferences
    GECCO '09: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
    July 2009
    1760 pages
    ISBN:9781605585055
    DOI:10.1145/1570256

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 08 July 2009

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    1. binary decision diagram (bdd)

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    GECCO09: Genetic and Evolutionary Computation Conference
    July 8 - 12, 2009
    Québec, Montreal, Canada

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