QMKPy: A Python Testbed for the Quadratic Multiple Knapsack Problem

TL;DR

QMKPy is a Python framework designed to facilitate the development, testing, and comparison of algorithms for solving the quadratic multiple knapsack problem, aiding researchers in optimization algorithm research.

Contribution

It introduces a flexible testbed that allows quick implementation and comparison of new solution algorithms for the QMKP, including existing methods.

Findings

Provides a comprehensive set of algorithms for QMKP

Enables rapid testing and benchmarking of new algorithms

Supports integration of custom solution methods

Abstract

QMKPy provides a Python framework for modeling and solving the quadratic multiple knapsack problem (QMKP). It is primarily aimed at researchers who develop new solution algorithms for the QMKP. QMKPy therefore mostly functions as a testbed to quickly implement novel algorithms and compare their results with existing ones. However, the package also already includes implementations of established algorithms for those who only need to solve a QMKP as part of their research.