Optimization of Quadratic Assignment Problem Using Self Organising Migrating Algorithm
Donald Davendra ; Ivan Zelinka
Computing and Informatics, Tome 28 (2012) no. 1, p. 169-180 / Harvested from Computing and Informatics
Text on Computing and Informatics
This paper introduces the primary research involving Self Organinsing Migrating Algorithm (SOMA) to the permutative problem of Quadratic Assignment. SOMA is transformed from its canonical form to successfully solve permutative optimization problems. Conversion and repairment routines are added to the generic SOMA. The results presented outline the high effectiveness of SOMA for solving QAP problems.
Publié le : 2012-01-26
Classification:  
@article{cai31,
     author = {Donald Davendra and Ivan Zelinka},
     title = {Optimization of Quadratic Assignment Problem Using Self Organising Migrating Algorithm},
     journal = {Computing and Informatics},
     volume = {28},
     number = {1},
     year = {2012},
     pages = { 169-180},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai31}
}

Donald Davendra; Ivan Zelinka. Optimization of Quadratic Assignment Problem Using Self Organising Migrating Algorithm. Computing and Informatics, Tome 28 (2012) no. 1, pp.  169-180. http://gdmltest.u-ga.fr/item/cai31/