Algorithms and codes for dense assignment problems: the state of the art

Citation
M. Dell'Amico et P. Toth, Algorithms and codes for dense assignment problems: the state of the art, DISCR APP M, 100(1-2), 2000, pp. 17-48
Citations number
54
Categorie Soggetti
Engineering Mathematics
Volume
100
Issue
1-2
Year of publication
2000
Pages
17 - 48
Database
ISI
SICI code
Abstract
The paper considers the classic linear assignment problem with a min-sum ob jective function, and the most efficient and easily available codes for its solution, We first give a survey describing the different approaches in th e literature, presenting their implementations, and pointing out similariti es and differences, Then we select eight codes and we introduce a wide set of dense instances containing both randomly generated and benchmark problem s. Finally we discuss the results of extensive computational experiments ob tained by solving the above instances with the eight codes, both on a works tation with Unix operating system and on a personal computer running under Windows 95. (C) 2000 Elsevier Science B.V. All rights reserved.