The average quality of greedy-algorithms for the Subset-Sum-Maximization Problem

Author:

Borgwardt K. H.,Tremel B.

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Mathematics,Software

Reference19 articles.

1. Borgwardt K H (1987) “Probabilistic analysis of optimization algorithms — Some aspects from a practical point of view”, Acta Applicandae Mathematicae 10 (1987): 171–210.

2. Coffman E G, Jr., Fayolle G, Jacquet P & Robert P (1989) “Largest-first sequential selection with a sum constraint”, Report of AT & T Bell Laboratories, Murray Hill, New Jersey, 1989.

3. Coffman E G, Jr., Lueker G S & Rinnooy Kan A H G (1986) “An introduction to the probabilistic analysis of sequencing and packing heuristics”, Report 8602/A, Econometric Institute, Erasmus Universiteit Rotterdam, Rotterdam.

4. D'Atri G & Di Rende A (1980) “Probabilistic analysis of knapsack-type problems”, Methods of Operations Research 40 (1980): 279–282.

5. D'Atri G & Puech C (1982) “Probabilistic analysis of the subset-sum problem”, Discrete Applied Mathematics 4 (1982): 329–334.

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1. Quantum algorithm and experimental demonstration for the subset sum problem;Science China Information Sciences;2021-12-13

2. Average-Case Performance of Rollout Algorithms for Knapsack Problems;Journal of Optimization Theory and Applications;2014-07-26

3. Greedy algorithms for the minimization knapsack problem: Average behavior;Journal of Computer and Systems Sciences International;2008-02

4. The average behaviour of greedy algorithms for the knapsack problem: General distributions;Mathematical Methods of Operations Research;2003-08

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