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Cited article:

Multi- and many-objective path-relinking: A taxonomy and decomposition approach

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Computers & Operations Research 133 105370 (2021)
https://doi.org/10.1016/j.cor.2021.105370

Handbook of Metaheuristics

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International Series in Operations Research & Management Science, Handbook of Metaheuristics 272 37 (2019)
https://doi.org/10.1007/978-3-319-91086-4_2

A gradual weight-based ant colony approach for solving the multiobjective multidimensional knapsack problem

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Evolutionary Intelligence 12 (2) 253 (2019)
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An improved version of a core based algorithm for the multi-objective multi-dimensional knapsack problem: A computational study and comparison with meta-heuristics

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Applied Mathematics and Computation 270 25 (2015)
https://doi.org/10.1016/j.amc.2015.08.018

Hybridization of Decomposition and Local Search for Multiobjective Optimization

Liangjun Ke, Qingfu Zhang and Roberto Battiti
IEEE Transactions on Cybernetics 44 (10) 1808 (2014)
https://doi.org/10.1109/TCYB.2013.2295886

Greedy algorithms for a class of knapsack problems with binary weights

Jochen Gorski, Luís Paquete and Fábio Pedrosa
Computers & Operations Research 39 (3) 498 (2012)
https://doi.org/10.1016/j.cor.2011.02.010

Evolutionary Multi-Criterion Optimization

Thibaut Lust, Jacques Teghem and Daniel Tuyttens
Lecture Notes in Computer Science, Evolutionary Multi-Criterion Optimization 6576 254 (2011)
https://doi.org/10.1007/978-3-642-19893-9_18

Multiple crossover genetic algorithm for the multiobjective traveling salesman problem

Semya Elaoud, Jacques Teghem and Taïcir Loukil
Electronic Notes in Discrete Mathematics 36 939 (2010)
https://doi.org/10.1016/j.endm.2010.05.119