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Consider the following instance of 0-1 Knapsack problem: Item 11 12 13 14 15 Profit 6. 5. 9 Weight The maximum weight of 16 Kg is allowed take an item more than once. Given the above set-up, using BRANCH AND BOUND methodology pick a subset of these items such that their total weight is no more than 16 Kg and their total the knapsack. The assumption is that each time an item is either taken completely or is left behind; she cannot take a fractional amount of an item or value is maximized.

Consider the following instance of 0-1 Knapsack problem: Item 11 12 13 14 15 Profit 6. 5. 9 Weight The maximum weight of 16 Kg is allowed take an item more than once. Given the above set-up, using BRANCH AND BOUND methodology pick a subset of these items such that their total weight is no more than 16 Kg and their total the knapsack. The assumption is that each time an item is either taken completely or is left behind; she cannot take a fractional amount of an item or value is maximized.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Consider the following instance of 0-1 Knapsack problem: Item 11 12 14 15 Profit 6 5 9 Weight 5 5 8 The maximum weight of 16 Kg is allowed in the knapsack. The assumption is that each time an item is either taken completely or is left behind; she cannot take a fractional amount of an item or take an item more than once. Given the above set-up, using BRANCH AND BOUND methodology pick a subset of these items such that their total weight is no more than 16 Kg and their total value is maximized.
Transcribed Image Text:Consider the following instance of 0-1 Knapsack problem: Item 11 12 14 15 Profit 6 5 9 Weight 5 5 8 The maximum weight of 16 Kg is allowed in the knapsack. The assumption is that each time an item is either taken completely or is left behind; she cannot take a fractional amount of an item or take an item more than once. Given the above set-up, using BRANCH AND BOUND methodology pick a subset of these items such that their total weight is no more than 16 Kg and their total value is maximized.
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