RUS  ENG
Full version
JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2004 Issue 11, Pages 49–63 (Mi at1659)

This article is cited in 5 papers

Deterministic Systems

Improved lower bounds for the quadratic assignment problem

S. I. Sergeev

Moscow State University of Economics, Statistics and Informatics

Abstract: A model in the form of the Adams–Jonson model for the quadratic assignment problem is used. Three methods for improving the lower bounds based on subgradients computed by finite formula are designed. One of them is applied to improve the lower bound through continuous relaxation the Adams–Jonson model, which has thus far not been done.

Presented by the member of Editorial Board: A. P. Uzdemir

Received: 02.12.2003


 English version:
Automation and Remote Control, 2004, 65:11, 1733–1746

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024