Advanced greedy algorithms and surrogate constraint methods for linear and quadratic knapsack and covering problems
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DOI: 10.1016/j.ejor.2013.04.010
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Cited by:
- Furini, Fabio & Ljubić, Ivana & Sinnl, Markus, 2017. "An effective dynamic programming algorithm for the minimum-cost maximal knapsack packing problem," European Journal of Operational Research, Elsevier, vol. 262(2), pages 438-448.
- Mavrotas, George & Florios, Kostas & Figueira, José Rui, 2015. "An improved version of a core based algorithm for the multi-objective multi-dimensional knapsack problem: A computational study and comparison with meta-heuristics," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 25-43.
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Keywords
Metaheuristics; Greedy algorithms; Knapsack/covering problems; Surrogate constraints; Multi-start/strategic oscillation; Tabu search;All these keywords.
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