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Artificial Intelligence and Decision Making, 2009, Issue 4, Pages 53–64
(Mi iipr548)
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Multicriteria choice
Heuristic for multicriteria multiple choice knapsack problem
M. Sh. Levina, A. V. Safonovb a Institute for Information Transmission Problems, Russian Academy of Sciences
b Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region
Abstract:
Approximate heuristic for multicriteria multiple choice knapsack problem is suggested. Results of computing experiments for comparison of the suggested algorithm and exact enumerative algorithm are examined. Influence of parameters (number of elements, number of element groups) to algorithm efficiency is considered. Importance of resource constraints to algorithm efficiency and results is considered as well. Computational results are based on various initial data sets. Recommendations for the use of the suggested approximate algorithm in real problems are presented.
Keywords:
combinatorial optimization, multicriteria multiple choice knapsack problem, heuristics, enumerative algorithms, dynamic programming, computing experiment.
Citation:
M. Sh. Levin, A. V. Safonov, “Heuristic for multicriteria multiple choice knapsack problem”, Artificial Intelligence and Decision Making, 2009, no. 4, 53–64
Linking options:
https://www.mathnet.ru/eng/iipr548 https://www.mathnet.ru/eng/iipr/y2009/i4/p53
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Statistics & downloads: |
Abstract page: | 19 | Full-text PDF : | 3 | References: | 1 |
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