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pro vyhledávání: '"Nataliya M. Gulayeva"'
Autor:
Gonzalo A. Aranda-Corral, Joaquín Borrego-Díaz, Antonia M. Chávez-González, Nataliya M. Gulayeva
Publikováno v:
AI, Vol 5, Iss 2, Pp 746-789 (2024)
In ontology engineering, reusing (or extending) ontologies poses a significant challenge, requiring revising their ontological commitments and ensuring accurate representation and coherent reasoning. This study aims to address two main objectives. Fi
Externí odkaz:
https://doaj.org/article/79b2b53247d7421ba4027c0b02d0682f
Publikováno v:
Cybernetics and Systems Analysis. 56:231-242
To solve multimodal optimization problems, a new niching genetic algorithm named tournament crowding genetic algorithm based on Gaussian mutation is proposed. A comparative analysis of this algorithm to other crowding algorithms and to parallel hill-
Autor:
Mykola Glybovets, Nataliya M. Gulayeva
Publikováno v:
Optimization Methods and Applications ISBN: 9783319686394
In this chapter, a comprehensive review of niching genetic algorithms designed to solve multimodal optimization problems is given. First, an introduction to multimodal optimization problem and to niching is provided. After that, a number of niching a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b209912fdef4fc941fe9b29effcf4be
https://doi.org/10.1007/978-3-319-68640-0_8
https://doi.org/10.1007/978-3-319-68640-0_8