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Bin Packing Algorithms Simplified Revision Notes

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10.1.3 Bin Packing Algorithms

What Are Bin Packing Algorithms?

Bin packing algorithms are used to solve problems where items of varying sizes must be placed into a fixed number of bins, each with a maximum capacity while minimising the number of bins used.

Types of Bin Packing Algorithms

  1. First-Fit Algorithm Place each item in the first bin that has enough space.

  2. First-Fit Decreasing (FFD) Algorithm Sort the items in descending order first, then apply the first-fit algorithm.

  1. Full Bin Packing Look for combinations of items that exactly fill a bin, then pack the remaining items using another method (e.g., first-fit).

Worked Examples

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Example 1: First-Fit Algorithm

You have items of sizes 7,5,6,2,47, 5, 6, 2, 4 to pack into bins of capacity 1010.


Step 1: Place 77 in bin 1.

  • Bin 1: [7][7]
  • Remaining space: 33

Step 2: Place 55 in bin 2.

  • Bin 2: [5][5]
  • Remaining space: 55

Step 3: Place 66 in bin 2 (fits in the remaining space).

  • Bin 2: [5,6][5,6]
  • Remaining space: 00

Step 4: Place 22 in bin 11 (fits in the remaining space).

  • Bin 1: [7,2][7,2]
  • Remaining space: 11

Step 5: Place 44 in bin 3.

  • Bin 3: [4][4]
  • Remaining space: 66

Result:

  • Bin 1: [7,2][7, 2]
  • Bin 2: [5,6][5, 6]
  • Bin 3: [4][4]
infoNote

Example 2: First-Fit Decreasing Algorithm

You have the same items as before: 7,5,6,2,47, 5, 6, 2, 4


Step 1: Sort items in decreasing order:

7,6,5,4,27, 6, 5, 4, 2


Step 2: Place 77 in bin 1.

  • Bin 1: [7][7]
  • Remaining space: 33

Step 3: Place 66 in bin 2.

  • Bin 2: [6][6]
  • Remaining space: 44

Step 4: Place 55 in bin 3.

  • Bin 3: [5][5]
  • Remaining space: 55

Step 5: Place 44 in bin 2.

  • Bin 2: [6,4][6,4]
  • Remaining space: 00

Step 6: Place 22 in bin 1.

  • Bin 1: [7,2][7,2]
  • Remaining space: 11

Result:

  • Bin 1: [7,2][7, 2]
  • Bin 2: [6,4][6, 4]
  • Bin 3: [5][5]
infoNote

Example 3: Full Bin Packing

You have items of sizes 7,5,6,2,47, 5, 6, 2, 4


Step 1: Look for combinations that fill a bin completely:

6+4=106 + 4 = 10 (Bin 1)


Step 2: Pack remaining items using first-fit:

  • Bin 2: [7,2][7, 2]
  • Bin 3: [5][5]

Result:

  • Bin 1: [6,4][6, 4]
  • Bin 2: [7,2][7, 2]
  • Bin 3: [5][5]

Efficiency and Comparison

AlgorithmAdvantagesDisadvantages
First-FitSimple and quick to implement.May not minimise bins effectively.
First-Fit DecreasingOften gives better results than first-fit.Sorting adds overhead.
Full Bin PackingEfficient if exact combinations exist.Requires extra effort to find combinations.

Applications of Bin Packing Algorithms

  1. Storage Optimisation: Allocating files to storage devices.
  2. Logistics: Packing items into containers for shipping.
  3. Scheduling: Assigning tasks to processors in computing.

Note Summary

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Common Mistakes

  1. Incorrect sorting in FFD: Ensure items are sorted in descending order before applying the first fit.
  2. Overlooking exact combinations in full bin packing: Use combinations only when feasible.
  3. Confusion about remaining space: Always update the remaining space in bins after placing items.
  4. Not testing with multiple methods: Some problems may benefit from comparing the results of different algorithms.
  5. Stopping prematurely: Ensure all items are packed.
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Key Formulas

  1. Bin Packing Goal: Minimise the number of bins such that:
Sum of items in each bin≤Capacity of the bin\text{Sum of items in each bin} \leq \text{Capacity of the bin}
  1. First-Fit Steps**:** Place each item into the first bin that has enough space.

  2. First-Fit Decreasing Steps: Sort items in descending order, then apply first-fit.

  3. Full Bin Packing Steps: Identify exact combinations for full bins, then use another algorithm for the remaining items.

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