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pro vyhledávání: '"AntonioJ. Fernández-Leiva"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 6, Iss 3 (2013)
This paper presents a parameterized schema for building memetic algorithms based on cross-entropy (CE) methods. This novel schema is general in nature, and features multiple probability mass functions and Lamarckian learning. The applicability of the
Externí odkaz:
https://doaj.org/article/203b8563e5d64400a57f02e0df7e11ba
