An incomplete \(m\)-exchange algorithm for solving the large-scale multi-scenario knapsack problem
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Publication:1761118
DOI10.1016/j.cor.2011.09.012zbMath1251.90340OpenAlexW1987669018MaRDI QIDQ1761118
Xiang Song, Jonathan M. Thompson, Yue Wu, Rhyd Lewis
Publication date: 15 November 2012
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2011.09.012
Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)
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Cites Work
- A cooperative local search-based algorithm for the multiple-scenario max-min knapsack problem
- A fast algorithm for strongly correlated knapsack problems
- A note on the max-min 0-1 knapsack problem
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- Where are the hard knapsack problems?
- Heuristic and exact algorithms for the max-min optimization of the multi-scenario knapsack problem
- Core problems in bi-criteria \(\{0,1\}\)-knapsack problems
- A New Algorithm for the 0-1 Knapsack Problem
- An Algorithm for Large Zero-One Knapsack Problems
- The Lagrangian Relaxation Method for Solving Integer Programming Problems
- Surrogate Constraint Duality in Mathematical Programming
- On the Max-Min 0-1 Knapsack Problem with Robust Optimization Applications
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