Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.5/96147
Title: Linear and Lagrangean Penalties for ILP. An Application to a Covering Problem
Author: Pato, Margarida Vaz
Keywords: Integer Linear Programming
Covering Problems
Lagrangean Relaxation
Penalties
Issue Date: 1992
Publisher: APDIO
Citation: Pato, Margarida Vaz .(1992). “Linear and Lagrangean Penalties” for ILP. An Application to a Covering Problem”. Investigação Operacional, Volume 12: no.1: pp. 43-50. 1992
Abstract: Lagrangean and linear penalties can be used for variable bounding in ILP. Such penalties, embedded in a branch-and-bound algorithm, yield remarkable reductions in the search procedure effort for large scale problems. In this paper, four different ways of exploring this idea for a covering problem with integer variables are presented. Computing results taken from test problems have revealed the efficiency of the technique in reducing the amplitude of variable intervals, and even in fixing them at feasible values .
URI: http://hdl.handle.net/10400.5/96147
ISSN: 0874-5161
Appears in Collections:DM - Artigos em Revistas Nacionais / Articles in Portuguese Journals



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