Abstract
An important method of assessing the effectiveness of any heuristic is to compare it to the value of a lower bound on the cost of an optimal solution. In many cases this is not an easy task; constructing strong lower bounds on the optimal solution may be as difficult as solving the problem. An attractive approach for generating a lower bound on the optimal solution to an NP-Complete problem is the following mathematical programming approach. First, formulate the problem as an integer program; then relax the integrality constraint and solve the resulting linear program.
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© 2005 Springer Science+Business Media, Inc.
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(2005). Mathematical Programming Based Bounds. In: The Logic of Logistics. Springer Series in Operations Research. Springer, New York, NY. https://doi.org/10.1007/0-387-22619-2_5
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DOI: https://doi.org/10.1007/0-387-22619-2_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-22199-1
Online ISBN: 978-0-387-22619-4
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