| dc.contributor.author | Imada, A. | |
| dc.date.accessioned | 2019-10-21T20:41:04Z | |
| dc.date.available | 2019-10-21T20:41:04Z | |
| dc.date.issued | 1999 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/CEC.1999.782648 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20644 | |
| dc.description | Evolutionary Programming Society (EPS);IEEE Neural Network Council (NNC);Institution of Electrical Engineers (IEE) | en_US |
| dc.description | 1999 Congress on Evolutionary Computation, CEC 1999 -- 6 July 1999 through 9 July 1999 -- Washington, DC -- 105218 | en_US |
| dc.description.abstract | When we search for an infinitely large number of solutions by evolutionary algorithms, it is helpful to learn the topology of the fitness landscape to know whether the solutions we obtained are representative samples of the whole solutions. Some solutions are easy to be approached and others are not in general. As a step to learn the whole geometry of fitness landscape, we exploit, in this paper, a downhill walk by evolutionary programming to reveal the shape of global peaks on the fitness landscape defined on weight space | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | IEEE Computer Society | en_US |
| dc.relation.isversionof | 10.1109/CEC.1999.782648 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Downhill walk from the top of a hill by evolutionary programming | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | Proceedings of the 1999 Congress on Evolutionary Computation, CEC 1999 | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
| dc.identifier.volume | 2 | en_US |
| dc.identifier.startpage | 1414 | en_US |
| dc.identifier.endpage | 1418 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |
