Learn how to design an algorithm to solve the knapsack problem, a classic optimization challenge in computer science, using dynamic programming, greedy method, branch and bound, and genetic algorithm.

Exact algorithms are algorithms that guarantee to find the optimal solution to the knapsack problem, but they may take a long time or a lot of memory to do so.

Problem Definition The 0/1 knapsack problem is an optimization problem where you are given a set of items, each with a weight and a profit. The objective is to select a subset of items that maximizes ...

The Knapsack Problem Solver is an interactive web application that demonstrates solving the classic optimization problem using a Genetic Algorithm. This tool allows users to add items with specific ...

The unbounded knapsack problem: given a knapsack of some capacity and a set of items that have a weight and a value, determine the maximum value of items you can place in your knapsack. The number ...

Knapsack problem is a traditional combinatorial optimization problem which aims to maximize the payload without exceeding the capacity of the bag. When one of the problem variables which are “the ...

The genetic algorithms are a well-known family of high-performance probabilistic algorithms. In this paper, we explore the possibility of using the genetic algorithm for the Knapsack problem to ...