| Autor: |
P.K. Das, H.S. Behera, P.K. Jena, B.K. Panigrahi |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Journal of Electrical Systems and Information Technology, Vol 3, Iss 2, Pp 295-313 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2314-7172 |
| DOI: |
10.1016/j.jesit.2015.12.003 |
| Popis: |
This paper proposes a new methodology to optimize trajectory of the path for multi-robots using improved gravitational search algorithm (IGSA) in a dynamic environment. GSA is improved based on memory information, social, cognitive factor of PSO (particle swarm optimization) and then, population for next generation is decided by the greedy strategy. A path planning scheme has been developed using IGSA to optimally obtain the succeeding positions of the robots from the existing position. Finally, the analytical and experimental results of the multi-robot path planning have been compared with those obtained by IGSA, GSA and PSO in a similar environment. The simulation and the Khepera environmental results outperform IGSA as compared to GSA and PSO with respect to performance matrix. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
