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1) Write code to pack your suitcase. I've included a csv file that lists items, a value, and a weight associated with each item. Read in this file and pack your suitcase with these items using a greedy approach. Your goal is to optimize packing your suitcase such that you maximize the space used for the greatest possible value. For instance, if the limit of my suitcase is 1000 and I have one item that weighs 1000 and has a value of 4, then the best way to pack my suitcase is with this one item if there are no other combination of items with a total weight < 1000 and a value > 4. Your implementation should be written as a function which takes in 2 parameters: (1) the path/name of the csv file and (2) the max allowed weight, w. The function will return the total weight packed, the value of the items packed, and a list of the items packed. The value of the suitcase will be equivalent to the sum of the value for all items packed. For both questions A and B, the problem is bounded. We have 1 of each item listed in the csv file. A. Implement the fractional knapsack problem. When writing out the items packed, include the fraction of the item packed (0 to 1). The value of the item is based upon the fraction of the item packed. For example, if the item has a value of 1 and you packed % of it, then the value of packing that item would be 0.5. B. Implement the integer knapsack problem.

1) Write code to pack your suitcase. I've included a csv file that lists items, a value, and a weight associated with each item. Read in this file and pack your suitcase with these items using a greedy approach. Your goal is to optimize packing your suitcase such that you maximize the space used for the greatest possible value. For instance, if the limit of my suitcase is 1000 and I have one item that weighs 1000 and has a value of 4, then the best way to pack my suitcase is with this one item if there are no other combination of items with a total weight < 1000 and a value > 4. Your implementation should be written as a function which takes in 2 parameters: (1) the path/name of the csv file and (2) the max allowed weight, w. The function will return the total weight packed, the value of the items packed, and a list of the items packed. The value of the suitcase will be equivalent to the sum of the value for all items packed. For both questions A and B, the problem is bounded. We have 1 of each item listed in the csv file. A. Implement the fractional knapsack problem. When writing out the items packed, include the fraction of the item packed (0 to 1). The value of the item is based upon the fraction of the item packed. For example, if the item has a value of 1 and you packed % of it, then the value of packing that item would be 0.5. B. Implement the integer knapsack problem.

Information Technology Project Management
Information Technology Project Management
9th Edition
ISBN:9781337101356
Author:Kathy Schwalbe
Publisher:Kathy Schwalbe
Chapter3: The Project Management Process Groups
Section: Chapter Questions
Problem 6E
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I need this done in Python and have included what the CSV file contains. Thanks!

1) Write code to pack your suitcase. I've included a csv file that lists items, a value, and a weight associated with each item. Read in this file and pack your suitcase with these items using a greedy approach. Your goal is to optimize packing your suitcase such that you maximize the space used for the greatest possible value. For instance, if the limit of my suitcase is 1000 and I have one item that weighs 1000 and has a value of 4, then the best way to pack my suitcase is with this one item if there are no other combination of items with a total weight < 1000 and a value > 4. Your implementation should be written as a function which takes in 2 parameters: (1) the path/name of the csv file and (2) the max allowed weight, w. The function will return the total weight packed, the value of the items packed, and a list of the items packed. The value of the suitcase will be equivalent to the sum of the value for all items packed. For both questions A and B, the problem is bounded. We have 1 of each item listed in the csv file. A. Implement the fractional knapsack problem. When writing out the items packed, include the fraction of the item packed (0 to 1). The value of the item is based upon the fraction of the item packed. For example, if the item has a value of 1 and you packed % of it, then the value of packing that item would be 0.5. B. Implement the integer knapsack problem.
Transcribed Image Text:1) Write code to pack your suitcase. I've included a csv file that lists items, a value, and a weight associated with each item. Read in this file and pack your suitcase with these items using a greedy approach. Your goal is to optimize packing your suitcase such that you maximize the space used for the greatest possible value. For instance, if the limit of my suitcase is 1000 and I have one item that weighs 1000 and has a value of 4, then the best way to pack my suitcase is with this one item if there are no other combination of items with a total weight < 1000 and a value > 4. Your implementation should be written as a function which takes in 2 parameters: (1) the path/name of the csv file and (2) the max allowed weight, w. The function will return the total weight packed, the value of the items packed, and a list of the items packed. The value of the suitcase will be equivalent to the sum of the value for all items packed. For both questions A and B, the problem is bounded. We have 1 of each item listed in the csv file. A. Implement the fractional knapsack problem. When writing out the items packed, include the fraction of the item packed (0 to 1). The value of the item is based upon the fraction of the item packed. For example, if the item has a value of 1 and you packed % of it, then the value of packing that item would be 0.5. B. Implement the integer knapsack problem.
ITEM, VALUE, WEIGHT 1st aid box,1880,700 1st aid jar, 736,500 1st aid kit [square], -184,700 baby bottle, 365,600 baby carriage,1455,10000 basket,910,249 bbq fork, 536,450 beach chair, -1209,7000 bicycle, -61,13154 book, 1949, 680 bowl, 1057,900 bracelet,916,80 broom, 1826,680 bucket, 881,541
Transcribed Image Text:ITEM, VALUE, WEIGHT 1st aid box,1880,700 1st aid jar, 736,500 1st aid kit [square], -184,700 baby bottle, 365,600 baby carriage,1455,10000 basket,910,249 bbq fork, 536,450 beach chair, -1209,7000 bicycle, -61,13154 book, 1949, 680 bowl, 1057,900 bracelet,916,80 broom, 1826,680 bucket, 881,541
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