Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments
| dc.cclicence | N/A | en |
| dc.contributor.author | Mavrovouniotis, Michalis | |
| dc.contributor.author | Yang, Shengxiang | |
| dc.date.acceptance | 2014-05 | |
| dc.date.accessioned | 2020-01-07T10:00:41Z | |
| dc.date.available | 2020-01-07T10:00:41Z | |
| dc.date.issued | 2014-09-22 | |
| dc.description | The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. | en |
| dc.description.abstract | Dynamic optimization problems (DOPs) have been a major challenge for ant colony optimization (ACO) algorithms. The integration of ACO algorithms with immigrants schemes showed promising results on different DOPs. Each type of immigrants scheme aims to address a DOP with specific characteristics. For example, random and elitism-based immigrants perform well on severely and slightly changing environments, respectively. In this paper, two hybrid immigrants, i.e., non-interactive and interactive, schemes are proposed to combine the merits of the aforementioned immigrants schemes. The experiments on a series of dynamic travelling salesman problems showed that the hybridization of immigrants further improves the performance of ACO algorithms. | en |
| dc.funder | EPSRC (Engineering and Physical Sciences Research Council) | en |
| dc.identifier.citation | Mavrovouniotis, M. and Yang, S. (2014) Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments. Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, July 2014. pp. 1542-1549. | en |
| dc.identifier.doi | https://doi.org/10.1109/cec.2014.6900481 | |
| dc.identifier.isbn | 9781479914883 | |
| dc.identifier.uri | https://dora.dmu.ac.uk/handle/2086/18991 | |
| dc.language.iso | en_US | en |
| dc.peerreviewed | Yes | en |
| dc.projectid | EP/K001310/1 | en |
| dc.publisher | IEEE Press | en |
| dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
| dc.subject | Dynamic optimization problems | en |
| dc.subject | ant colony optimization | en |
| dc.subject | hybrid immigrants | en |
| dc.title | Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments | en |
| dc.type | Conference | en |