Algorithms for the MAXIMUM HAMMING DISTANCE problem

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Abstract

We study the problem of finding two solutions to a constraint satisfaction problem which differ on the assignment of as many variables as possible - the MAX HAMMING DISTANCE problem for CSPs - a problem which can, among other things, be seen as a domain independent way of quantifying "ignorance." The first algorithm we present is an Ο(1.7338n) microstructure based algorithm for MAX HAMMING DISTANCE 2-SAT, improving the previously best known algorithm for this problem, which has a running time of Ο(1.8409n). We also give algorithms based on enumeration techniques for solving both MAX HAMMING DISTANCE l-SAT, and the general MAX HAMMING DISTANCE (d, l)-CSP, the first non-trivial algorithms for these problems. The main results here are that if we can solve l-SAT in Ο(an) and (d,l)-CSP in Ο(bn), then the corresponding Max Hamming problems can be solved in Ο((2a)n) and Ο(bn(1 + b)n), respectively. © Springer-Verlag Berlin Heidelberg 2005.

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Angelsmark, O., & Thapper, J. (2005). Algorithms for the MAXIMUM HAMMING DISTANCE problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3419 LNAI, pp. 128–141). https://doi.org/10.1007/11402763_10

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