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How does the Least Cost Branch and Bound algorithm decide which node to explore next?

In Least Cost Branch and Bound, the algorithm selects the node with the minimum cost from the available nodes to explore next. This prioritizes paths that appear most promising based on the current cost evaluation.

Conditions

  • Applicable when using the Least Cost strategy for Branch and Bound.
  • A cost function is defined for the problem.

Reasoning, step by step

  1. Calculate the cost for each available node using the problem-dependent cost function.
  2. Compare the costs of the nodes in the current frontier.
  3. Select the node with the minimum cost.
  4. Expand the selected node to generate its children.

Example

The instructor explains, "The node with the minimum cost I should explore next. Least cost, that's what it is least cost branch and bound." In the example, Node 2(C=12)2 (C=12) is expanded, generating Node 6(C=8)6 (C=8) and Node 7(C=7)7 (C=7). Node 7 is then selected because it has the minimum cost.

Common misconceptions

  • Assuming the algorithm explores nodes in the order they were generated (FIFO) or reverse order (LIFO).
  • Believing that the cost is arbitrary rather than derived from a specific cost function.

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Answers are generated from source material and independently checked. Consult the original video or creator if something is unclear.