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

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
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
The Quadratic Assignment Problem
Zvi Drezner
https://doi.org/10.1007/978-3-319-13111-5_13
Book:  (2015), p. 345
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
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
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
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


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