From b7e7d27f30d31b6bcd5a17798cf1e77c7aea44d8 Mon Sep 17 00:00:00 2001 From: Filipe Brandao Date: Wed, 17 Feb 2016 20:52:04 +0000 Subject: [PATCH] Update documentation --- README.md | 51 ++++++++++++++++++------------------ docs/VPSolver3.pdf | Bin 0 -> 367054 bytes docs/arcflow.bib | 15 +++++++++++ docs/vpsolver/Docker.html | 2 +- docs/vpsolver/README.html | 53 +++++++++++++++++++------------------- docs/vpsolver_manual.pdf | Bin 139705 -> 161509 bytes docs/vpsolver_report.pdf | Bin 709170 -> 0 bytes docs/wiki | 2 +- 8 files changed, 70 insertions(+), 53 deletions(-) create mode 100644 docs/VPSolver3.pdf delete mode 100644 docs/vpsolver_report.pdf diff --git a/README.md b/README.md index cd96dcc..b744810 100644 --- a/README.md +++ b/README.md @@ -5,10 +5,8 @@ Faculdade de Ciências, Universidade do Porto Porto, Portugal. All rights reserved. E-mail: . --- -[VPSolver](https://github.com/fdabrandao/vpsolver) is a vector packing solver based on an arc-flow formulation with graph -compression. VPSolver generates very strong models (equivalent to Gilmore and -Gomory's) that can be solved using general-purpose mixed-integer programming -solvers such as Gurobi and GLPK (see, e.g., [1] and [2]). VPSolver does not explicitly require any MIP +[VPSolver](https://github.com/fdabrandao/vpsolver) is a multiple-choice vector packing solver based on an arc-flow formulation with graph compression (see, e.g., [\[1\]](#references)). VPSolver generates very strong models (equivalent to Gilmore and Gomory's) that can be solved using general-purpose mixed-integer programming +solvers such as Gurobi and GLPK (see, e.g., [\[2\]](#references) and [\[3\]](#references)). VPSolver does not explicitly require any MIP solver in particular, though a good MIP solver may be necessary for solving large models. @@ -54,7 +52,7 @@ It has been successfully compiled and run on the following platforms: Without the python interface: ```bash -$ ./configure +$ ./configure CXXFLAGS="" LDFLAGS="" $ make $ sudo make install ``` @@ -89,7 +87,7 @@ $ docker pull fdabrandao/vpsolver Option 2: `clone` VPSolver and `build` locally: ```bash -$ git clone git@github.com:fdabrandao/vpsolver.git vpsolver +$ git clone https://github.com/fdabrandao/vpsolver.git vpsolver $ docker build -t fdabrandao/vpsolver vpsolver ``` @@ -134,8 +132,8 @@ The Web App can then be accessed on a web browser at `http://127.0.0.1:5555/`. ## VPSolver binaries -* `$ bin/vpsolver intance.vbp`: solves a vector packing instance using the method proposed in [1]. Note: requires Gurobi 5.0.0 or superior; -* `$ bin/vbp2afg instance.vbp graph.afg`: builds an arc-flow graph `graph.afg` for `instance.vbp`; +* `$ bin/vpsolver intance.vbp/.mvp`: solves a multiple-choice vector packing instance using the method described in [\[1\]](#references). Note: requires Gurobi 5.0.0 or superior; +* `$ bin/vbp2afg instance.vbp/.mvp graph.afg`: builds an arc-flow graph `graph.afg` for `instance.vbp/.mvp`; * `$ bin/afg2mps graph.afg model.mps`: creates a MPS model `model.mps` for `graph.afg`; * `$ bin/afg2lp graph.afg model.lp`: creates a LP model `model.lp` for `graph.afg`; * `$ bin/vbpsol graph.afg vars.sol`: extracts a vector packing solution from an arc-flow solution `vars.sol` associated with the graph `graph.afg`. @@ -167,7 +165,7 @@ solvers: Usage: ```bash -$ vpsolver_X.sh --vbp instance.vbp +$ vpsolver_X.sh --vbp/--mvp instance.vbp/.mvp $ vpsolver_X.sh --afg graph.afg $ vpsolver_X.sh --mps/--lp model.mps/.lp $ vpsolver_X.sh --mps/--lp model.mps/.lp --afg graph.afg @@ -177,39 +175,42 @@ $ vpsolver_X.sh --mps/--lp model.mps/.lp --afg graph.afg * `docs/`: documentation * `scripts/`: vpsolver scripts -* `bin/`: vpsolver executables * `src/`: vpsolver source code in C++ * `pyvpsolver/`: pyvpsolver source code in Python * `examples/`: vpsolver and pyvpsolver examples * `docs/reports/`: technical reports on the underlying algorithms and models -## Reports +## References + +The current solution method is described in: + +* [1] Brandão, F. (2016). _VPSolver 3: Multiple-choice Vector Packing Solver._ [arXiv:1602.04876](http://arxiv.org/abs/1602.04876). + VPSolver was proposed in: -* [1] Brandão, F. and Pedroso, J. P. (2016). Bin packing and related problems: General arc-flow formulation with graph compression. +* [2] Brandão, F. and Pedroso, J. P. (2016). _Bin packing and related problems: General arc-flow formulation with graph compression._ Computers & Operations Research, 69:56 – 67. -doi: [http://dx.doi.org/10.1016/j.cor.2015.11.009](http://authors.elsevier.com/a/1SKHP15N8Rug2A). +doi: [http://dx.doi.org/10.1016/j.cor.2015.11.009](http://dx.doi.org/10.1016/j.cor.2015.11.009). -* [2] Brandão, F. and Pedroso, J. P. (2013). Bin Packing and Related Problems: -General Arc-flow Formulation with Graph Compression. Technical Report +* [3] Brandão, F. and Pedroso, J. P. (2013). _Bin Packing and Related Problems: +General Arc-flow Formulation with Graph Compression._ Technical Report DCC-2013-08, Faculdade de Ciências da Universidade do Porto, Universidade do -Porto, Portugal. -Available at: [http://arxiv.org/abs/1310.6887](http://arxiv.org/abs/1310.6887). +Porto, Portugal. [arXiv:1310.6887](http://arxiv.org/abs/1310.6887). See also: -* [3] Brandão, F. and Pedroso, J. P. (2013). Multiple-choice Vector Bin Packing: -Arc-flow Formulation with Graph Compression. Technical Report DCC-2013-13, -Faculdade de Ciências da Universidade do Porto, Universidade do Porto, Portugal. +* [4] Brandão, F. and Pedroso, J. P. (2013). _Multiple-choice Vector Bin Packing: +Arc-flow Formulation with Graph Compression._ Technical Report DCC-2013-13, +Faculdade de Ciências da Universidade do Porto, Universidade do Porto, Portugal. [arXiv:1312.3836](http://arxiv.org/abs/1312.3836) -* [4] Brandão, F. and Pedroso, J. P. (2013). Cutting Stock with Binary Patterns: -Arc-flow Formulation with Graph Compression. Technical Report DCC-2013-09, -Faculdade de Ciências da Universidade do Porto, Universidade do Porto, Portugal. +* [5] Brandão, F. and Pedroso, J. P. (2013). _Cutting Stock with Binary Patterns: +Arc-flow Formulation with Graph Compression._ Technical Report DCC-2013-09, +Faculdade de Ciências da Universidade do Porto, Universidade do Porto, Portugal. [arXiv:1502.02899](http://arxiv.org/abs/1502.02899). -* [5] Brandão, F. (2012). Bin Packing and Related Problems: Pattern-Based Approaches +* [6] Brandão, F. (2012). _Bin Packing and Related Problems: Pattern-Based Approaches._ Master’s thesis, Faculdade de Ciências da Universidade do Porto, Portugal. -* [6] Computational results on several benchmark test data sets: +* [7] Computational results on several benchmark test data sets: http://www.dcc.fc.up.pt/~fdabrandao/research/vpsolver/results/ diff --git a/docs/VPSolver3.pdf b/docs/VPSolver3.pdf new file mode 100644 index 0000000000000000000000000000000000000000..b3d28c7f6c209c9e07a8df326f498a6e86cf0536 GIT binary patch literal 367054 zcma&NQ;;q^)VA5SZQHhOyPw`|?zU~)wr$(C&E2-$J?~UaP5s}f<{*`Ik{qN`D{Ec% z9dacx33_G*b{O(F7)}l%CL%i{D;PdLB1Q>IYiCo(|7L4LXHzj#V>=U5B1Sn=TXSa% zA~qHdCL#d=7$;{(Q$rgV_swg*t=NC9DYrk7zSSUrX!o-1@t__pL=|25suAnXIm?KE`3kk&gK&&F5O%su@S}nm=mSp3lYu&%V^}hoH|pw_DdLks}VO z_?h3ex5cCSzWyE>vM~a+cX7+FUeXhwYMQm#FNbAO&9|R8V7in*aMt11*RnlY4IYBMU#&BeCf12; ze0xvWWaF#DopS&HXw-xSJFLdC>5aloCsEraRtacE0RcBC;wtczf<>-9w-CgBZ$GYp z5ZBMP!U?ud=NT6ZKef?%-G6*P2s1kE0Y!NdPdOGNQH~@JF^E7xv7hy5V0l&w 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Option 2: clone VPSolver and build locally:

-
user@locahost ~$ git clone git@github.com:fdabrandao/vpsolver.git vpsolver
+
user@locahost ~$ git clone https://github.com/fdabrandao/vpsolver.git vpsolver
 user@locahost ~$ docker build -t fdabrandao/vpsolver vpsolver

diff --git a/docs/vpsolver/README.html b/docs/vpsolver/README.html index ca9b3e2..83cbd54 100644 --- a/docs/vpsolver/README.html +++ b/docs/vpsolver/README.html @@ -57,10 +57,8 @@


-

VPSolver is a vector packing solver based on an arc-flow formulation with graph -compression. VPSolver generates very strong models (equivalent to Gilmore and -Gomory's) that can be solved using general-purpose mixed-integer programming -solvers such as Gurobi and GLPK (see, e.g., [1] and [2]). VPSolver does not explicitly require any MIP +

VPSolver is a multiple-choice vector packing solver based on an arc-flow formulation with graph compression (see, e.g., [1]). VPSolver generates very strong models (equivalent to Gilmore and Gomory's) that can be solved using general-purpose mixed-integer programming +solvers such as Gurobi and GLPK (see, e.g., [2] and [3]). VPSolver does not explicitly require any MIP solver in particular, though a good MIP solver may be necessary for solving large models.

@@ -135,7 +133,7 @@

Without the python interface:

-
$ ./configure
+
$ ./configure CXXFLAGS="" LDFLAGS=""
 $ make
 $ sudo make install
@@ -169,7 +167,7 @@

Option 2: clone VPSolver and build locally:

-
$ git clone git@github.com:fdabrandao/vpsolver.git vpsolver
+
$ git clone https://github.com/fdabrandao/vpsolver.git vpsolver
 $ docker build -t fdabrandao/vpsolver vpsolver

@@ -215,9 +213,9 @@

  • -$ bin/vpsolver intance.vbp: solves a vector packing instance using the method proposed in [1]. Note: requires Gurobi 5.0.0 or superior;
  • +$ bin/vpsolver intance.vbp/.mvp: solves a multiple-choice vector packing instance using the method described in [1]. Note: requires Gurobi 5.0.0 or superior;
  • -$ bin/vbp2afg instance.vbp graph.afg: builds an arc-flow graph graph.afg for instance.vbp;
  • +$ bin/vbp2afg instance.vbp/.mvp graph.afg: builds an arc-flow graph graph.afg for instance.vbp/.mvp;
  • $ bin/afg2mps graph.afg model.mps: creates a MPS model model.mps for graph.afg;
  • @@ -261,7 +259,7 @@

    Usage:

    -
    $ vpsolver_X.sh --vbp instance.vbp
    +
    $ vpsolver_X.sh --vbp/--mvp instance.vbp/.mvp
     $ vpsolver_X.sh --afg graph.afg
     $ vpsolver_X.sh --mps/--lp model.mps/.lp
     $ vpsolver_X.sh --mps/--lp model.mps/.lp --afg graph.afg
    @@ -275,8 +273,6 @@

  • scripts/: vpsolver scripts
  • -bin/: vpsolver executables
  • -
  • src/: vpsolver source code in C++
  • pyvpsolver/: pyvpsolver source code in Python
  • @@ -287,33 +283,38 @@

-Reports

+References

+ +

The current solution method is described in:

+ +
    +
  • [1] Brandão, F. (2016). VPSolver 3: Multiple-choice Vector Packing Solver. arXiv:1602.04876.
  • +

VPSolver was proposed in:

    -
  • [1] Brandão, F. and Pedroso, J. P. (2016). Bin packing and related problems: General arc-flow formulation with graph compression. +

  • [2] Brandão, F. and Pedroso, J. P. (2016). Bin packing and related problems: General arc-flow formulation with graph compression. Computers & Operations Research, 69:56 – 67.
    -doi: http://dx.doi.org/10.1016/j.cor.2015.11.009.

  • -
  • [2] Brandão, F. and Pedroso, J. P. (2013). Bin Packing and Related Problems: -General Arc-flow Formulation with Graph Compression. Technical Report +doi: http://dx.doi.org/10.1016/j.cor.2015.11.009.

  • +
  • [3] Brandão, F. and Pedroso, J. P. (2013). Bin Packing and Related Problems: +General Arc-flow Formulation with Graph Compression. Technical Report DCC-2013-08, Faculdade de Ciências da Universidade do Porto, Universidade do -Porto, Portugal.
    -Available at: http://arxiv.org/abs/1310.6887.

  • +Porto, Portugal. arXiv:1310.6887.

See also:

    -
  • [3] Brandão, F. and Pedroso, J. P. (2013). Multiple-choice Vector Bin Packing: -Arc-flow Formulation with Graph Compression. Technical Report DCC-2013-13, -Faculdade de Ciências da Universidade do Porto, Universidade do Porto, Portugal.

  • -
  • [4] Brandão, F. and Pedroso, J. P. (2013). Cutting Stock with Binary Patterns: -Arc-flow Formulation with Graph Compression. Technical Report DCC-2013-09, -Faculdade de Ciências da Universidade do Porto, Universidade do Porto, Portugal.

  • -
  • [5] Brandão, F. (2012). Bin Packing and Related Problems: Pattern-Based Approaches +

  • [4] Brandão, F. and Pedroso, J. P. (2013). Multiple-choice Vector Bin Packing: +Arc-flow Formulation with Graph Compression. Technical Report DCC-2013-13, +Faculdade de Ciências da Universidade do Porto, Universidade do Porto, Portugal. arXiv:1312.3836

  • +
  • [5] Brandão, F. and Pedroso, J. P. (2013). Cutting Stock with Binary Patterns: +Arc-flow Formulation with Graph Compression. Technical Report DCC-2013-09, +Faculdade de Ciências da Universidade do Porto, Universidade do Porto, Portugal. arXiv:1502.02899.

  • +
  • [6] Brandão, F. (2012). Bin Packing and Related Problems: Pattern-Based Approaches. Master’s thesis, Faculdade de Ciências da Universidade do Porto, Portugal.

  • -
  • [6] Computational results on several benchmark test data sets:
    +

  • [7] Computational results on several benchmark test data sets:
    http://www.dcc.fc.up.pt/~fdabrandao/research/vpsolver/results/

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