Enhanced cuckoo intelligence search algorithm
| dc.contributor.author | Aina, I. I. | |
| dc.contributor.author | Peter, O. J. | |
| dc.contributor.author | Ayoade, A. A. | |
| dc.contributor.author | Oguntolu, F. A. | |
| dc.contributor.author | Oluwayemi, M. O. | |
| dc.date.accessioned | 2022-07-31T09:41:27Z | |
| dc.date.available | 2022-07-31T09:41:27Z | |
| dc.date.issued | 2021 | |
| dc.description | Scholarly article | en_US |
| dc.description.abstract | Cuckoo Search (CS) algorithm is a meta-heuristic technique that displays several merits. For example, it is easier to apply and less tuning parameters also, it is suitable for solving optimization problems. However, easily fall into local optimum has been established and has a slow convergence rate as a result of the cuckoo search parameters being kept constant. Therefore to handle this issue, an Enhanced Cuckoo Intelligence Search (ECIS) algorithm was developed which is an upgraded CS algorithm. The efficiency of ECIS was tested by some benchmark constrained optimization test functions and it was shown that ECIS gives a better optimal value than CS. | en_US |
| dc.identifier.citation | Aina, I. I., Peter, O. J., Ayoade, A. A., Oguntolu, F. A. & Oluwayemi, M. O. (2021): Enhanced cuckoo intelligence search algorithm, International Journal of Di erence Equations, 16(1), 87-97. | en_US |
| dc.identifier.issn | 0973-6069 | |
| dc.identifier.uri | https://ir.unilag.edu.ng/handle/123456789/10971 | |
| dc.language.iso | en | en_US |
| dc.publisher | Research India Publications. | en_US |
| dc.subject | Cuckoo search algorithm | en_US |
| dc.subject | enhanced cuckoo intelligence | en_US |
| dc.subject | levy flight | en_US |
| dc.subject | solving optimization problems | en_US |
| dc.subject | Research Subject Categories::MATHEMATICS | en_US |
| dc.title | Enhanced cuckoo intelligence search algorithm | en_US |
| dc.type | Article | en_US |