Issue: 2024/Vol.34/No.4, Pages 53-66

APPROXIMATE SOLUTIONS TO THE MULTIPLE-CHOICE KNAPSACK PROBLEM BY MULTIOBJECTIVIZATION AND CHEBYSHEV SCALARIZATION

Ewa M. Bednarczuk , Ignacy Kaliszewski , Janusz Miroforidis 

Full paper (PDF)    

Cite as: E. M. Bednarczuk, I. Kaliszewski, J. Miroforidis. Approximate solutions to the multiple-choice knapsack problem by multiobjectivization and Chebyshev scalarization. Operations Research and Decisions 2024: 34(4), 53-66. DOI 10.37190/ord240403

Abstract
The method BISSA, proposed by Bednarczuk, Miroforidis, and Pyzel, provides approximate solutions to the multiple-choice knapsack problem. To fathom the optimality gap that is left by BISSA, we present a method that starts from the BISSA16 solution and it is able to provide a better approximation and in consequence a tighter optimality gap. Like BISSA, the new method is based on the multiobjectivization of the multiple-choice knapsack problem but instead of the linear scalarization used in BISSA, it makes use of the Chebyshev scalarization. We validate the new method on the same set of problems as the one used to validate BISSA.

Keywords: multiobjectivization, multiple-choice knapsack problem, Chebyshev scalarization, BISSA algorithm

Received: 12 February 2024    Accepted: 1 October 2024
Published online: 19 December 2024