A computational comparison of branch and bound and outer approximation algorithms for 0–1 mixed integer nonlinear programs
In this paper we compare the performance of two codes for convex 0–1 mixed integer nonlinear programs on a number of test problems. The first code uses a branch and bound algorithm. The second code is a commercially available implementation of an outer approximation algorithm. The comparison demonst...
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| Vydané v: | Computers & operations research Ročník 24; číslo 8; s. 699 - 701 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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Oxford
Elsevier Ltd
01.08.1997
Elsevier Science Pergamon Press Inc |
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| ISSN: | 0305-0548, 1873-765X, 0305-0548 |
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| Abstract | In this paper we compare the performance of two codes for convex 0–1 mixed integer nonlinear programs on a number of test problems. The first code uses a branch and bound algorithm. The second code is a commercially available implementation of an outer approximation algorithm. The comparison demonstrates that both approaches are generally capable of solving the test problems. However, there are significant differences in the robustness of the two codes and their performance on different classes of problems. |
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| AbstractList | In this paper we compare the performance of two codes for convex 0–1 mixed integer nonlinear programs on a number of test problems. The first code uses a branch and bound algorithm. The second code is a commercially available implementation of an outer approximation algorithm. The comparison demonstrates that both approaches are generally capable of solving the test problems. However, there are significant differences in the robustness of the two codes and their performance on different classes of problems. The performance of 2 codes for convex 0-1 mixed integer nonlinear programs are compared on a number of test problems. The first code uses a branch and bound algorithm. The 2nd code is a commercially available implementation of an outer approximation algorithm. The comparison demonstrates that both approaches are generally capable of solving the test problems. However, there are significant differences in the robustness of the 2 codes and their performance on different classes of problems. |
| Author | Borchers, Brian Mitchell, John E. |
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| Cites_doi | 10.1016/0098-1354(89)85008-2 10.1016/0305-0548(94)90024-8 10.1287/mnsc.15.2.B51 10.1007/BF02592064 10.1287/opre.18.3.454 10.1287/mnsc.31.12.1533 10.1287/opre.37.6.902 10.1016/0098-1354(90)87085-4 |
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| Keywords | Approximation Portfolio selection Branch and bound method Combinatorial problem Mixed integer programming Non linear programming Comparative study |
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| References | Brooke, Kendrick, Merraus (BIB11) 1988 Floudas (BIB1) 1995 Kocis, Grossman (BIB2) 1989; 13 Viswanathan, Grossman (BIB10) 1990; 14 Paules, Floudas (BIB3) 1989; 37 Mao, Wallingford (BIB5) 1968; 15 Duran, Grossman (BIB9) 1986; 36 GAMS (BIB12) 1993 Borchers, Mitchell (BIB6) 1994; 21 Gupta, Ravindran (BIB7) 1983; 20 Gupta, Ravindran (BIB8) 1985; 31 Bixby, Boyd, Indovina (BIB13) 1992; 25 Laughhunn (BIB4) 1970; 18 Duran (10.1016/S0305-0548(97)00002-6_BIB9) 1986; 36 Borchers (10.1016/S0305-0548(97)00002-6_BIB6) 1994; 21 Laughhunn (10.1016/S0305-0548(97)00002-6_BIB4) 1970; 18 Mao (10.1016/S0305-0548(97)00002-6_BIB5) 1968; 15 Gupta (10.1016/S0305-0548(97)00002-6_BIB7) 1983; 20 Bixby (10.1016/S0305-0548(97)00002-6_BIB13) 1992; 25 Floudas (10.1016/S0305-0548(97)00002-6_BIB1) 1995 GAMS (10.1016/S0305-0548(97)00002-6_BIB12) 1993 Paules (10.1016/S0305-0548(97)00002-6_BIB3) 1989; 37 Kocis (10.1016/S0305-0548(97)00002-6_BIB2) 1989; 13 Gupta (10.1016/S0305-0548(97)00002-6_BIB8) 1985; 31 Viswanathan (10.1016/S0305-0548(97)00002-6_BIB10) 1990; 14 Brooke (10.1016/S0305-0548(97)00002-6_BIB11) 1988 |
| References_xml | – volume: 15 start-page: 51 year: 1968 end-page: 60 ident: BIB5 article-title: An extension of Lawler and Bell's method of discrete optimization with examples from capital budgeting publication-title: Management Science – volume: 14 start-page: 769 year: 1990 end-page: 782 ident: BIB10 article-title: A combined penalty function and outer approximation method for MINLP optimization publication-title: Computers and Chemical Engineering – volume: 36 start-page: 307 year: 1986 end-page: 339 ident: BIB9 article-title: An outer-approximation algorithm for a class of mixed-integer nonlinear programs publication-title: Mathematical Programming – year: 1993 ident: BIB12 publication-title: GAMS—The Solver Manuals – year: 1995 ident: BIB1 article-title: Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications – year: 1988 ident: BIB11 publication-title: GAMS: A User's Guide – volume: 37 start-page: 902 year: 1989 end-page: 915 ident: BIB3 article-title: APROS: algorithmic development methodology for discrete-continuous optimization problems publication-title: Operations Research – volume: 21 start-page: 359 year: 1994 end-page: 367 ident: BIB6 article-title: An improved branch and bound algorithm for mixed integer nonlinear programs publication-title: Computers and Operations Research – volume: 13 start-page: 307 year: 1989 end-page: 315 ident: BIB2 article-title: Computational experience with DICOPT solving MINLP problems in process systems engineering publication-title: Computers and Chemical Engineering – volume: 25 start-page: 16 year: 1992 ident: BIB13 article-title: MIPLIB: a test set of mixed integer programming solutions publication-title: SIAM News – volume: 18 start-page: 454 year: 1970 end-page: 461 ident: BIB4 article-title: Quadratic binary programming with applications to capital-budgeting problems publication-title: Operations Research – volume: 20 start-page: 189 year: 1983 end-page: 206 ident: BIB7 article-title: Nonlinear integer programming algorithms: a survey publication-title: OPSEARCH – volume: 31 start-page: 1533 year: 1985 end-page: 1546 ident: BIB8 article-title: Branch and bound experiments in convex nonlinear integer programming publication-title: Management Science – year: 1988 ident: 10.1016/S0305-0548(97)00002-6_BIB11 – volume: 13 start-page: 307 year: 1989 ident: 10.1016/S0305-0548(97)00002-6_BIB2 article-title: Computational experience with DICOPT solving MINLP problems in process systems engineering publication-title: Computers and Chemical Engineering doi: 10.1016/0098-1354(89)85008-2 – volume: 25 start-page: 16 issue: 20 year: 1992 ident: 10.1016/S0305-0548(97)00002-6_BIB13 article-title: MIPLIB: a test set of mixed integer programming solutions publication-title: SIAM News – volume: 21 start-page: 359 issue: 4 year: 1994 ident: 10.1016/S0305-0548(97)00002-6_BIB6 article-title: An improved branch and bound algorithm for mixed integer nonlinear programs publication-title: Computers and Operations Research doi: 10.1016/0305-0548(94)90024-8 – volume: 15 start-page: 51 issue: 2 year: 1968 ident: 10.1016/S0305-0548(97)00002-6_BIB5 article-title: An extension of Lawler and Bell's method of discrete optimization with examples from capital budgeting publication-title: Management Science doi: 10.1287/mnsc.15.2.B51 – volume: 36 start-page: 307 year: 1986 ident: 10.1016/S0305-0548(97)00002-6_BIB9 article-title: An outer-approximation algorithm for a class of mixed-integer nonlinear programs publication-title: Mathematical Programming doi: 10.1007/BF02592064 – year: 1993 ident: 10.1016/S0305-0548(97)00002-6_BIB12 – volume: 18 start-page: 454 issue: 3 year: 1970 ident: 10.1016/S0305-0548(97)00002-6_BIB4 article-title: Quadratic binary programming with applications to capital-budgeting problems publication-title: Operations Research doi: 10.1287/opre.18.3.454 – volume: 31 start-page: 1533 issue: 12 year: 1985 ident: 10.1016/S0305-0548(97)00002-6_BIB8 article-title: Branch and bound experiments in convex nonlinear integer programming publication-title: Management Science doi: 10.1287/mnsc.31.12.1533 – volume: 37 start-page: 902 issue: 6 year: 1989 ident: 10.1016/S0305-0548(97)00002-6_BIB3 article-title: APROS: algorithmic development methodology for discrete-continuous optimization problems publication-title: Operations Research doi: 10.1287/opre.37.6.902 – volume: 20 start-page: 189 issue: 4 year: 1983 ident: 10.1016/S0305-0548(97)00002-6_BIB7 article-title: Nonlinear integer programming algorithms: a survey publication-title: OPSEARCH – year: 1995 ident: 10.1016/S0305-0548(97)00002-6_BIB1 – volume: 14 start-page: 769 year: 1990 ident: 10.1016/S0305-0548(97)00002-6_BIB10 article-title: A combined penalty function and outer approximation method for MINLP optimization publication-title: Computers and Chemical Engineering doi: 10.1016/0098-1354(90)87085-4 |
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| Snippet | In this paper we compare the performance of two codes for convex 0–1 mixed integer nonlinear programs on a number of test problems. The first code uses a... The performance of 2 codes for convex 0-1 mixed integer nonlinear programs are compared on a number of test problems. The first code uses a branch and bound... |
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| SubjectTerms | Algorithms Applied sciences Approximation Comparative analysis Exact sciences and technology Flows in networks. Combinatorial problems Nonlinear programming Operational research and scientific management Operational research. Management science Portfolio theory Studies |
| Title | A computational comparison of branch and bound and outer approximation algorithms for 0–1 mixed integer nonlinear programs |
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