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Bin packing with variable bin sizes, initial state and “move penalty”?


Keeping consistency in subjective rankingAllocate items to an unknown number of resourcesCombinatorics and bin packingRandomized packing of itemsProbability of a number of weighted items being allocated to the same binEqual probabilities in each count in stars and bars$n$ distinguishable items into $b$ distinguishable bins (there's more to elaborate…)Knapsack or bin packing problem?Number of ways to assign $n$ objects into $k$ bins, each of a given sizeNP-hardness of bin packing problem for fixed bin size













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$begingroup$


I'm dealing with a variation of the bin packing problem:




  • Variable sized bins

  • Variable number of bins

  • Currently 1D, might become 2D

  • There is a defined initial state - items have been already distributed to bins

  • There is a penalty for each move of an item to another bin

  • Goal: The number of used bins should be reduced as much as possible


I'm thinking this boils down to an combinatorics problem optimizing a target function with the number of used bins in the final state and the moves needed to reach that state, each appropriately weighted.



I didn't find any resource dealing with this particular problem. Especially the penalty seems an unknown variant.



Could you point me in the right direction, or give some advice?



Thanks,
Greg










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    0












    $begingroup$


    I'm dealing with a variation of the bin packing problem:




    • Variable sized bins

    • Variable number of bins

    • Currently 1D, might become 2D

    • There is a defined initial state - items have been already distributed to bins

    • There is a penalty for each move of an item to another bin

    • Goal: The number of used bins should be reduced as much as possible


    I'm thinking this boils down to an combinatorics problem optimizing a target function with the number of used bins in the final state and the moves needed to reach that state, each appropriately weighted.



    I didn't find any resource dealing with this particular problem. Especially the penalty seems an unknown variant.



    Could you point me in the right direction, or give some advice?



    Thanks,
    Greg










    share|cite|improve this question







    New contributor




    user3240855 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      0












      0








      0





      $begingroup$


      I'm dealing with a variation of the bin packing problem:




      • Variable sized bins

      • Variable number of bins

      • Currently 1D, might become 2D

      • There is a defined initial state - items have been already distributed to bins

      • There is a penalty for each move of an item to another bin

      • Goal: The number of used bins should be reduced as much as possible


      I'm thinking this boils down to an combinatorics problem optimizing a target function with the number of used bins in the final state and the moves needed to reach that state, each appropriately weighted.



      I didn't find any resource dealing with this particular problem. Especially the penalty seems an unknown variant.



      Could you point me in the right direction, or give some advice?



      Thanks,
      Greg










      share|cite|improve this question







      New contributor




      user3240855 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I'm dealing with a variation of the bin packing problem:




      • Variable sized bins

      • Variable number of bins

      • Currently 1D, might become 2D

      • There is a defined initial state - items have been already distributed to bins

      • There is a penalty for each move of an item to another bin

      • Goal: The number of used bins should be reduced as much as possible


      I'm thinking this boils down to an combinatorics problem optimizing a target function with the number of used bins in the final state and the moves needed to reach that state, each appropriately weighted.



      I didn't find any resource dealing with this particular problem. Especially the penalty seems an unknown variant.



      Could you point me in the right direction, or give some advice?



      Thanks,
      Greg







      combinatorics optimization






      share|cite|improve this question







      New contributor




      user3240855 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|cite|improve this question







      New contributor




      user3240855 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|cite|improve this question




      share|cite|improve this question






      New contributor




      user3240855 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 5 hours ago









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      user3240855 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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