fractional knapsack.py

knapsack/fractional knapsack.py

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+def greedy_knapsack(n, w, p, m):
+    ratio = [0] * n
+
+    # Calculate the ratio of profit/weight
+    for i in range(n):
+        ratio[i] = p[i] / w[i]
+
+    # Sort items by their ratio (profit/weight)
+    items = sorted(range(n), key=lambda i: ratio[i], reverse=True)
+
+    current_weight = 0
+    max_profit = 0.0
+    x = [0] * n
+
+    for i in items:
+        if current_weight + w[i] <= m:
+            x[i] = 1  # Take the whole item
+            current_weight += w[i]
+            max_profit += p[i]
+        else:
+            x[i] = (m - current_weight) / w[i]  # Take the fractional part
+            max_profit += x[i] * p[i]
+            break
+
+    print(f"Optimal solution for greedy method: {max_profit:.2f}")
+    print("Solution vector for greedy method:", x)
+
+
+if __name__ == "__main__":
+    n = int(input("Enter number of objects: "))
+    w = list(map(int, input("Enter the object weights: ").split()))
+    p = list(map(int, input("Enter the profit: ").split()))
+    m = int(input("Enter maximum capacity: "))
+
+    greedy_knapsack(n, w, p, m)