The Branch and Bound Algorithm is a method used in combinatorial optimization problems to systematically search for the best solution. It works by dividing the problem into smaller subproblems, or branches, and then eliminating certain branches based on bounds on the optimal solution. This process continues until the best solution is found or all branches have been explored. Branch and Bound is commonly used in problems like the traveling salesman and job scheduling.
Branch and Bound Algorithm
Introduction to Branch and Bound:
- Branch and Bound meaning in DSA
- Introduction to Branch and Bound
- Difference between Backtracking and Branch-N-Bound
Standard Problems on Branch and Bound:
- Branch and Bound | Set 1 (Introduction with 0/1 Knapsack)
- Branch and Bound | Set 2 (Implementation of 0/1 Knapsack)
- 0/1 Knapsack using Least Cost Branch and Bound
- Branch and Bound | Set 3 (8 puzzle Problem)
- Branch and Bound | Set 5 (N Queen Problem)
- Branch And Bound | Set 6 (Traveling Salesman Problem)
- Job Assignment Problem using Branch And Bound
- Travelling Salesman Problem (TSP) using Reduced Matrix Method
- Generate Binary Strings of length N using Branch and Bound
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