Question

Design A Solution For An Airline Customer On What To Leave Behind And What To Carry Based On Cabin Baggage Weight Limits. The Customer Has To Pack As Many Items As The Limit Allows While Maximizing The Total Worth. The Data Can Be Of Your Choice.

( A) Use Greedy Technique
(B) Use Dynamic Programming WRITE CODE AND ALGORITHM

Answer 1

To optimize cabin baggage for HighFlyer Airlines, algorithms like Greedy Technique and Dynamic Programming can be used to select items that maximize worth without exceeding weight limits. While the Greedy Technique is faster, Dynamic Programming is more thorough and ensures an optimal solution.

Step-by-step explanation:

Algorithm to Optimize Cabin Baggage

For HighFlyer Airlines customers, making the most of the cabin baggage weight limits is crucial. To tackle this challenge, we can employ optimization algorithms such as Greedy Technique and Dynamic Programming.

Greedy Technique

The Greedy Technique involves selecting the most valuable items first, as long as they do not exceed the weight limit. This method is fast but does not always guarantee the optimal solution.

Dynamic Programming

Dynamic Programming, on the other hand, breaks the problem down into smaller, overlapping sub-problems and solves each one only once, storing the results for future use. This method is more thorough and provides an optimal solution, taking into account all combinations of items and weights.

In both cases, the algorithm would generate a list of items to pack that maximizes total worth without exceeding the baggage weight limit imposed by the airline.