hello-algo/en/codes/kotlin/chapter_greedy/fractional_knapsack.kt

51 lines
1.4 KiB
Kotlin

/**
* File: fractional_knapsack.kt
* Created Time: 2024-01-25
* Author: curtishd (1023632660@qq.com)
*/
package chapter_greedy
/* Item */
class Item(
val w: Int, // Item
val v: Int // Item value
)
/* Fractional knapsack: Greedy */
fun fractionalKnapsack(wgt: IntArray, _val: IntArray, c: Int): Double {
// Create an item list, containing two properties: weight, value
var cap = c
val items = arrayOfNulls<Item>(wgt.size)
for (i in wgt.indices) {
items[i] = Item(wgt[i], _val[i])
}
// Sort by unit value item.v / item.w from high to low
items.sortBy { item: Item? -> -(item!!.v.toDouble() / item.w) }
// Loop for greedy selection
var res = 0.0
for (item in items) {
if (item!!.w <= cap) {
// If the remaining capacity is sufficient, put the entire item into the knapsack
res += item.v
cap -= item.w
} else {
// If the remaining capacity is insufficient, put part of the item into the knapsack
res += item.v.toDouble() / item.w * cap
// No remaining capacity left, thus break the loop
break
}
}
return res
}
/* Driver Code */
fun main() {
val wgt = intArrayOf(10, 20, 30, 40, 50)
val _val = intArrayOf(50, 120, 150, 210, 240)
val cap = 50
// Greedy algorithm
val res = fractionalKnapsack(wgt, _val, cap)
println("Maximum value of items without exceeding bag capacity = $res")
}