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Cited by 8
Testing of Hybrid Genetic Algorithms for Structured Quadratic Assignment Problems

2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications
Jiunn-Chin Wang
https://doi.org/10.1109/IBICA.2012.56
Conference  (2012), p. 19
A Hybrid Genetic-Hierarchical Algorithm for the Quadratic Assignment Problem
Alfonsas Misevičius, Dovilė Verenė
https://doi.org/10.3390/e23010108
Journal  Entropy Volume 23, Issue 1 (2021), p. 108
Computational Study of Four Genetic Algorithm Variants for Solving the Quadratic Assignment Problem
Alfonsas Misevicius, Evaldas Guogis
https://doi.org/10.1007/978-3-642-33308-8_3
Book  Communications in Computer and Information Science (Information and Software Technologies) Volume 319 (2012), p. 24
Enhancing the performance of hybrid genetic algorithms by differential improvement
Zvi Drezner, Alfonsas Misevičius
https://doi.org/10.1016/j.cor.2012.10.014
Journal  Computers & Operations Research Volume 40, Issue 4 (2013), p. 1038
Migrating Birds Optimization: A new metaheuristic approach and its performance on quadratic assignment problem
Ekrem Duman, Mitat Uysal, Ali Fuat Alkaya
https://doi.org/10.1016/j.ins.2012.06.032
Journal  Information Sciences Volume 217 (2012), p. 65
Optimizing Query Perturbations to Enhance Shape Retrieval
Bilal Mokhtari, Kamal Eddine Melkemi, Dominique Michelucci, Sebti Foufou
https://doi.org/10.1007/978-3-030-43120-4_33
Book  Lecture Notes in Computer Science (Mathematical Aspects of Computer and Information Sciences) Volume 11989 (2020), p. 422
Quantum-Inspired Evolutionary Approach for the Quadratic Assignment Problem
Wojciech Chmiel, Joanna Kwiecień
https://doi.org/10.3390/e20100781
Journal  Entropy Volume 20, Issue 10 (2018), p. 781
The Quadratic Assignment Problem
Zvi Drezner
https://doi.org/10.1007/978-3-319-13111-5_13
Book  (2015), p. 345


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