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.
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.
The tree is expanded breadth-first. After the root's children are created, the instructor treats that whole level as completed and then expands nodes from left to right across the current frontier.
Conditions: The tree is explored level by level.; At each node, only jobs not already used on the path from the root are appended.; The clip shows structural expansion only, not pruning by bounds.
The tree is expanded breadth-first. After the root's children are created, the instructor treats that whole level as completed and then expands nodes from left to right across the current frontier.
Conditions: The tree is explored level by level.; At each node, only jobs not already used on the path from the root are appended.; The clip shows structural expansion only, not pruning by bounds.