Name
Abstract | ||
|---|---|---|
Multidimensional systems, or n-D systems, are systems having several independent variables. Several topics, in particular stability, of n-D systems (n > 1) have attracted the interest of many researchers. The main reason, is because the extension stability theory of 1-D systems to systems with higher dimensions is not straightforward. In this paper, two adopted meta-heuristics algorithms are used for complementing the study of systems stability based on their polynomial characteristics over the variables boundaries. The two meta-heuristics are genetic algorithm and particle swarm optimization due to its popularity. Practical results of both meta-heuristics are compared and the better algorithm highlighted. The results demonstrate that meta-heuristics can be applied in studding multidimensional system stability. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/NDS.2015.7332652 | 2015 IEEE 9th International Workshop on Multidimensional (nD) Systems (nDS) |
Keywords | Field | DocType |
metaheuristics,multidimensional systems stability study,n-D system,extension stability theory,1D system,polynomial characteristics,genetic algorithm,particle swarm optimization,multidimensional system stability | Particle swarm optimization,Mathematical optimization,Polynomial,Multi-swarm optimization,Variables,Genetic algorithm,Mathematics,Metaheuristic,Stability theory,Multidimensional systems | Conference |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| E. J. Solteiro Pires | 1 | 1 | 0.37 |
| P. B. de Moura Oliveira | 2 | 1 | 0.37 |
| J. A. Tenreiro Machado | 3 | 507 | 85.77 |