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AI: Search Methods for Problem Solving · End Term · 24 Dec 2023 · September 2023 term · Set FDB1

Question 10: TSP Branch-and-Bound\ The TSP Branch-and-Bound algorithm…

Question 10

+1 markWritten answer

TSP Branch-and-Bound
The TSP Branch-and-Bound algorithm is solving a TSP instance where the cities are A, B, C, .... and so on. The Branch-and-Bound search tree at the time when the algorithm has discovered the optimal tour is shown below.
Each node in the search tree displays an edge (either XY or ~XY), a cost value, and a unique reference number (a1, b1, b2, ..., c1, ..., d1, ..., e1, …, f1, f2). Use the reference numbers to break ties. When required, enter the reference numbers in short answers.
What information can you glean from the search tree? Answer the sub-questions based on the information gleaned from the search tree.

Start from city A, what is the path representation of the optimal tour? Enter the path
representation in the text box, or enter NIL if it is not possible to determine the optimal tour. Enter a comma separated list of cities (city labels).
NO SPACES, TABS, DOTS, BRACKETS OR EXTRANEOUS CHARACTERS.
Answer format: A,B,C

Show answer

Correct answer: A,B,D,C,E or A,E,C,D,B

Question 10 of 26 in the IIT Madras BS AI: Search Methods for Problem Solving (AI Search Methods) End Term paper sat on 24 Dec 2023, in the September 2023 term (IIT M DEGREE FN EXAM FDB1 24 Dec 2023). It carries 1 mark.

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