This paper introduces a heuristic solver based on neural networks and deep learning for the knapsack problem. The solver is inspired by mechanisms and strategies used by both algorithmic solvers and ...

The knapsack problem is a classic NP-hard optimization challenge with wide-ranging applications in computer science, such as resource allocation. While several variants have been developed, including ...

ABSTRACT In this paper, we focus on the multi-objective stochastic multiple knapsack problem, in which the object weights are random. We propose a new approach called the multi-objective memetic ...

# Python Implementation of a greedy 0-1 knapsack algorithm. # For reviewing purposes only. Please refer to main article for more details. # This algorithm can tackle very large knapsack problems in ...

Knapsack-Problem Implementation of knapsack problem in Python The knapsack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the ...

How the Mathematical Conundrum Called the ‘Knapsack Problem’ Is All Around Us A litany of issues in business, finance, container ship loading and aircraft loading derive from this one simple ...

ABSTRACT: The 0/1 Multidimensional Knapsack Problem (0/1 MKP) is an interesting NP-hard combinatorial optimization problem that can model a number of challenging applications in logistics, finance, ...