Abstract
In [1]-[22] an approach to problems of integer programming (IP) based on the use of regular partitions of their relaxation sets is proposed and developed. Using this approach, new classes of cuts are described and investigated. The upper and lower bounds for the number of iterations (cuts) are found for fractional cutting-plane algorithms (including some Gomory algorithms) as well as upper bounds for the number of iterations for several lexicographical enumeration and branch-and-bound algorithms. The algorithms are suggested for solving and analyzing IP problems using the structure of set partitions into ¿-classes; the results of numerical experiments are presented. The present paper reviews the results obtained on this subject. Purely integer problems are mainly considered. In addition, a number of new results related to Boolean programming (BP) problems are given. The survey [11] and a part of the book [23], both focussed mainly on L-partitions, are devoted to this subject as well.
This research was partially supported by the Russian Foundation for Fundamental Research (Grant 93–01–00557).
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Kolokolov, A.A. (1996). Regular Partitions and Cuts in Integer Programming. In: Korshunov, A.D. (eds) Discrete Analysis and Operations Research. Mathematics and Its Applications, vol 355. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-1606-7_6
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