[Feature Request] Real-World Application of 0/1 Knapsack: Optimizing Disaster Relief Supply Packing

[Mahi3454]

🚀 Feature Request

Is your feature request related to a problem? Please describe.
I'm frustrated when trying to apply the 0/1 Knapsack Problem to real-life scenarios, such as optimizing disaster relief packing. The existing resources often focus on theoretical explanations and lack practical, real-world examples, which makes it difficult to understand how to apply these concepts effectively.

Describe the solution you'd like..
I would like a comprehensive explanation of how the 0/1 Knapsack Problem can be applied to a real-world scenario, such as disaster relief supply packing, where we need to maximize the total priority score of supplies based on their weight and importance, within a limited capacity. The solution should include a clear problem description, an example with specific inputs (e.g., truck capacity and supply details), and C++ code that solves the problem. It should also provide explanations on how the solution works and why it's relevant.

Describe alternatives you've considered
I've considered reading various algorithm and dynamic programming textbooks, but they often provide abstract problems without offering real-world relevance. Online tutorials sometimes include the code, but they usually don't connect it to actual practical use cases like disaster relief, making it harder to see the value of the solution.

Additional context
Providing this real-world example and explanation would help programmers understand how the 0/1 Knapsack Problem can be applied to practical scenarios. This will not only improve problem-solving skills but also demonstrate the real-world utility of algorithms, making it easier for developers to relate to and use in professional projects.

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Would you like to work on this feature?

• Yes

[github-actions]

👋 Hi @Mahi3454! Thank you for opening your first issue on the Algo project. We're excited to help you out and appreciate your contribution. Please provide as much detail as possible to assist us in addressing the issue effectively.
Welcome aboard! 😊

[github-actions]

👋 Hi @Mahi3454! Thanks for opening this issue. We appreciate your contribution to the Algo project. Our team will review it soon.

[Mahi3454]

Description.pdf
Here is the detailed description, and I hope you will assign it to me.