DC pole | Wartość | Język |
dc.contributor.author | Gościniak, Ireneusz | - |
dc.date.accessioned | 2018-05-21T08:46:38Z | - |
dc.date.available | 2018-05-21T08:46:38Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Soft Computing, Vol. 21, iss. 14 (2017), s. 3945-3956 | pl_PL |
dc.identifier.issn | 1432-7643 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/3780 | - |
dc.description.abstract | A group of immune systems is similar to a multi-population system. Immune systems can be influenced by vaccines and serums, similarly to that which occurs in nature. The discussed algorithm has more parameters of work control than other immune algorithms. Fractal and multi-fractal analyses of the proposed algorithm, supported by quantitative analysis, are discussed. Fractal and multifractal analyses illustrate the algorithm behaviour. These analyses allow comparing algorithm settings considering their impact on the exploration and exploitation of the solution space. Fractal and multifractal analyses will be a valuable completion of knowledge of their work mechanisms. | pl_PL |
dc.language.iso | en | pl_PL |
dc.rights | Uznanie autorstwa 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/pl/ | * |
dc.subject | Artificial intelligence | pl_PL |
dc.subject | Entropy | pl_PL |
dc.subject | Fractal analysis | pl_PL |
dc.subject | Genetic material exchange | pl_PL |
dc.subject | Group of immune algorithms | pl_PL |
dc.subject | Immune algorithm | pl_PL |
dc.subject | Multifractal analysis | pl_PL |
dc.subject | Optimization method | pl_PL |
dc.title | Discussion of the Semi-Immune Algorithm Behaviour Based on Fractal Analysis | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
dc.identifier.doi | 10.1007/s00500-016-2044-y | - |
Pojawia się w kolekcji: | Artykuły (WNŚiT)
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