Strong and compact relaxations in the original space using a compact extended formulation
Author(s) -
Mathieu Van Vyve,
Laurence A. Wolsey
Publication year - 2012
Publication title -
euro journal on computational optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.95
H-Index - 14
eISSN - 2192-4414
pISSN - 2192-4406
DOI - 10.1007/s13675-012-0004-6
Subject(s) - linear programming , linear programming relaxation , mathematical optimization , relaxation (psychology) , mathematics , dual (grammatical number) , integer programming , space (punctuation) , variable (mathematics) , upper and lower bounds , integer (computer science) , decomposition , computer science , algorithm , mathematical analysis , psychology , social psychology , art , literature , programming language , operating system , ecology , biology
For certain integer programs, one way to obtain a strong dual bound is to use an extended formulation and then solve the associated linear programming relaxation.The classical way to obtain a bound of the same value in the original variable space is through the use of Benders’ algorithm. Here, we propose an alternative approach based on a decomposition of the dual optimal solution of the extended formulation linear program. An example of the approach using the multi-commodity formulation of a two-level production/transportation problem is presented
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom