A complete anytime algorithm for balanced number partitioning
Abstract
Given a set of numbers, the balanced partioning problem is to divide them into two subsets, so that the sum of the numbers in each subset are as nearly equal as possible, subject to the constraint that the cardinalities of the subsets be within one of each other. We combine the balanced largest differencing method (BLDM) and Korf's complete KarmarkarKarp algorithm to get a new algorithm that optimally solves the balanced partitioning problem. For numbers with twelve significant digits or less, the algorithm can optimally solve balanced partioning problems of arbitrary size in practice. For numbers with greater precision, it first returns the BLDM solution, then continues to find better solutions as time allows.
 Publication:

arXiv eprints
 Pub Date:
 March 1999
 arXiv:
 arXiv:cs/9903011
 Bibcode:
 1999cs........3011M
 Keywords:

 Computer Science  Data Structures and Algorithms;
 Computer Science  Artificial Intelligence;
 Condensed Matter  Disordered Systems and Neural Networks;
 F.2.2
 EPrint:
 12 pages, 5 figures