On the Value of Binary Expansions for General Mixed-Integer Linear Programs
Jonathan H. Owen () and
Sanjay Mehrotra ()
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Jonathan H. Owen: General Motors Research and Development Center, 30500 Mound Road, MC #480-106-359, Warren, Michigan 48090
Sanjay Mehrotra: Department of Industrial Engineering and Management Sciences, Robert R. McCormick School of Engineering, Northwestern University, Evanston, Illinois 60208
Operations Research, 2002, vol. 50, issue 5, 810-819
Abstract:
We study the use of binary variables in reformulating general mixed-integer linear programs. We show that binary reformulations result in problems for which almost all the binary variables replacing a general integer variable need to be explored during branching. We also give computational results on the performance of such reformulations in solving the mixed-integer programs, which support our theoretical results.
Keywords: Programming; integer: remodeling of general integer variables (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:50:y:2002:i:5:p:810-819
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