Minkowski sum problems

The Minkowski sum problem (MSP) over $S$ subsets/subproblems can be stated as $$\min{y \mid y \in Y = \oplus_{s \in {1,\ldots,S}} Y^s }$$ Each subset $Y^s$ contain a set of nondominated vectors with $p$ objectives. Note, the MSP is multi-objective in nature, since a solution to MSP is the nondominated set $Y_N$ (the nondominated sum), of the Minkowski sum $Y$.

For source code and further results see this repository.

How to cite

To cite this repository use

@Electronic{MOrepo-Lyngesen24,
  Title = {Minkowski sum problems (MOrepo-Lyngesen24)},
  Author = {M. Lyngesen and L. R. Nielsen},
  Url = {https://github.com/MCDMSociety/MOrepo-Lyngesen24},
  Year = {2024},
  Note = {Instance and result files at MOrepo.}
}

To cite the Multi-Objective Optimization Repository use

@Electronic{MOrepo,
  Title = {Multi-Objective Optimization Repository (MOrepo)},
  Author = {L. R. Nielsen},
  Url = {https://github.com/MCDMSociety/MOrepo},
  Year = {2017},
}

Test instances

Since an MSP instance is defined by a set of subsets $Y^s$, $s = 1,\ldots,S$, we first have to generate subsets.

Subset instances

Each subset/subproblem is generated using either method l, u or m:

• Points generated on the upper (u) part of a sphere resulting in many unsupported points.
• Points generated between to hyperplanes in the middle (m) of the hypercube, resulting in both supported and unsupported points near to the hull.
• Points generated on the lower (l) part of a sphere resulting in many supported points.

In total 600 subset instances was generated. A subset instance is named Lyngesen24-sp-<p>-<subset size>-<method>_<id>.json and stored in the sp folder. The json file is structured like e.g. ´Lyngesen24-sp-2-10-m_1.json`:

{
  "points": [
    {
      "z1": 1813,
      "z2": 8622,
      "cls": "us"
    },
    {
      "z1": 5997,
      "z2": 3449,
      "cls": "us"
    },

    ...

    {
      "z1": 9922,
      "z2": 1059,
      "cls": "se"
    },
    {
      "z1": 3078,
      "z2": 7170,
      "cls": "us"
    }
  ],
  "statistics": {
    "p": [2],
    "card": [10],
    "supported": [4],
    "extreme": [4],
    "unsupported": [6],
    "min": [1599, 1059],
    "max": [9922, 8734],
    "width": [8323, 7675],
    "method": ["m"]
  }
}

The cls entry contains strings us (unsupported), se (supported extreme) and sne (supported non-extreme). We use the R package gMOIP to generate subproblems. A subproblem is generated such that all nondominated points is integer and in the hypercube $[0, 10000]^p$. Ten instances were generated for each $p=2,\ldots, 5$, subset size 10, 50, 100, 200, 300 and method u, l and m. For further details see this report.

MSP instances

An MSP instances is defined by a set of subsets $Y^s$, $s = 1,\ldots,S$. Instances are named

Lyngesen24-msp-<objectives>-<subset 1 size>|...|<subset S size>-<subset 1 gen method>...<subset S gen method>-S_<id>.json.

The json file is structured like e.g. ´Lyngesen24-msp-4-200|200|200|200|200-lllll-5_1.json`:

[
  {
    "V1": "subproblems/sp-4-200-l_6.json",
    "V2": "subproblems/sp-4-200-l_10.json",
    "V3": "subproblems/sp-4-200-l_3.json",
    "V4": "subproblems/sp-4-200-l_4.json",
    "V5": "subproblems/sp-4-200-l_5.json"
  }
]

Five instances for each objective $p=2,\ldots, 5$, number of subsets $S = 2, \ldots 5$, subset size 50, 100, 200, 300 and method u, l, m and lu are generated, resulting in 1280 MSP instances in total. For further details see this report.

Results

The results folder contains subfolders with the non dominated sum (files end with _Yn). Under the misc entry the sizes of the generators are included in entry genSize. For further details see this report.