Heuristic Solutions for the Multiple-Choice Multi-dimension Knapsack Problem

  • Authors:
  • M. Mostofa Akbar;Eric G. Manning;Gholamali C. Shoja;Shahadat Khan

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ICCS '01 Proceedings of the International Conference on Computational Science-Part II
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

The Multiple-Choice Multi-Dimension Knapsack Problem (MMKP) is a variant of the 0-1 Knapsack Problem, an NP-Hard problem. Hence algorithms for finding the exact solution of MMKP are not suitable for application in real time decision-making applications, like quality adaptation and admission control of an interactive multimedia system. This paper presents two new heuristic algorithms, M-HEU and I-HEU for solving MMKP. Experimental results suggest that M-HEU finds 96% optimal solutions on average with much reduced computational complexity and performs favorably relative to other heuristic algorithms for MMKP. The scalability property of I-HEU makes this heuristic a strong candidate for use in real time applications.