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0304 Bin Packing. Background: Suppose you plan to build a wall system for your books, records, and stereo set in your dorm room. The wall system requires 24 wooden shelves of various lengths: 6,6,5,5,5,4,4,4,4,2,2,2,2,3,3,7,7,5,5,8,8,4 and 5 feet

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Background:

Suppose you plan to build a wall system for your books, records, and stereo set in your dorm room. The wall system requires 24 wooden shelves of various lengths:

6,6,5,5,5,4,4,4,4,2,2,2,2,3,3,7,7,5,5,8,8,4 and 5 feet

The lumberyard, however, sells wood only in boards of length 9 feet. If each board costs $8, what is the minimum cost to by sufficient wood for this wall system?


Bin-packing problem: when we wish to find the minimum number of “bins” into which the weights of a problem can be “packed” or sorted

There are 2 sets of 3 types of these problems that we will be talking about:

Next-fit (NF), first-fit (FF), worst-fit (WF)

Next-fit decreasing (NFD), first-fit decreasing (FFD), worst-fit decreasing (WFD)


Next Fit of “bins” into which the weights of a problem can be “packed” or sorted

Advantage – does not require knowing all the weights in advance & only the remaining space in the bin currently being packed must be remembered

Disadvantage – a bin packed early on may have had room for small items that come later in the list

How to: Put the weights into the first bin until the next weight won’t fit, and then start a new bin


Next fit example weights 6 6 5 5 5 4 4 4 4 2 2 2 2 3 3 7 7 5 5 8 8 4 4 5 each bin is 9 feet long

Next Fit Example: of “bins” into which the weights of a problem can be “packed” or sorted

Weights: 6,6,5,5,5,4,4,4,4,2,2,2,2,3,3,7,7,5,5,8,8,4,4,5

Each bin is 9 feet long

4

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First Fit of “bins” into which the weights of a problem can be “packed” or sorted

How to: Put the next weight into the first bin already opened that has room for this weight; if no such bin exists, start a new bin.


First fit example weights 6 6 5 5 5 4 4 4 4 2 2 2 2 3 3 7 7 5 5 8 8 4 4 5 each bin is 9 feet long

First Fit Example: of “bins” into which the weights of a problem can be “packed” or sorted

Weights: 6,6,5,5,5,4,4,4,4,2,2,2,2,3,3,7,7,5,5,8,8,4,4,5

Each bin is 9 feet long

4

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7

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Worst Fit of “bins” into which the weights of a problem can be “packed” or sorted

How to: Each item is packed into the bin with the most space, if the item doesn’t fit into any bins add another

Example:

Weights:

6,6,5,5,5,4,4,4,4,2,2,2,2,3,3,7,7,5,5,8,8,4,4,5

Each bin is 9 feet long

You try…


BUT of “bins” into which the weights of a problem can be “packed” or sortedthese methods don’t account for large weights, that are more difficult to fit/pack, later in the list. Therefore, we should first sort the items to be packed in order of decreasing size. (That is, assuming we know these in advance.)

This approach yields three new methods:

Next-fit decreasing, First-fit decreasing, & Worst-fit decreasing


Note: NONE of the six heuristic methods will necessarily find the optimal number of bins for an arbitrary problem.

Homework- Pg 112: 40, 41, 42, 44

#44: “Best fit” is the opposite of the worst-fit method, where each item is packed into the bin that would leave the LEAST amount of available space in the bin


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