Improvement on a stochastic parallel alopex algorithm
MI Li-na
CHEN Zhi-Fei
SUN Chang-zhi
Abstract:Alopex algorithm is a new optimization method with elicitation and randomicity. In this paperthe optimization strategy of Alopex algorithm is improved to achieve good convergence based onabundant examples. The results show that the proposed improvement on Alopex algorithm is effectiveand available.
Keywords:optimizationalgopex algorithmpositive change probabilitytemperaturestep size
Publication Date:2000-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 296-299 )
JOURNAL OF SHENYANG UNIVERSITY OF TECHNOLOGY

JOURNAL OF SHENYANG UNIVERSITY OF TECHNOLOGY

PKUISTICEI
ISSN:1000-1646
Year, Vol.(Issue):2000,22(4)