def optimize_fruit_bag(weights, values, weight_limit):
n = len(weights)
dp = [[0] * (weight_limit + 1) for _ in range(n + 1)]
for i in range(1, n + 1):
for j in range(1, weight_limit + 1):
if weights[i - 1] <= j:
dp[i][j] = max(dp[i - 1][j], dp[i - 1][j - weights[i - 1]] + values[i - 1])
else:
dp[i][j] = dp[i - 1][j]
result = []
i, j = n, weight_limit
while i > 0 and j > 0:
if dp[i][j] != dp[i - 1][j]:
result.append(i - 1)
j -= weights[i - 1]
i -= 1
return result
def main():
weights = [15, 18, 10, 9]
values = [300, 180, 150, 270]
weight_limit = 20
selected_indices = optimize_fruit_bag(weights, values, weight_limit)
print("Selected fruits to maximize value:")
for index in selected_indices:
print(f"Fruit {index + 1} - Weight: {weights[index]} kg, Value: {values[index]}")
if __name__ == "__main__":
main()