Optimization of Quadratic Assignment Problem Using Self Organising Migrating Algorithm
Abstract
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.
Downloads
Download data is not yet available.
Downloads
Published
2012-01-26
How to Cite
Davendra, D., & Zelinka, I. (2012). Optimization of Quadratic Assignment Problem Using Self Organising Migrating Algorithm. Computing and Informatics, 28(2), 169–180. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/31
Issue
Section
Articles