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- W2365206910 abstract "To improve the efficiency of MOSES algorithm,this paper proposes a new hierarchical statistical model of program trees.This model conducts hierarchical statistical analysis on program trees and can generate potential subtrees automatically to guide algorithm optimization.This model leaves out the operations of creating models for the variables set like the previous hBOA algorithm;and also doesn't need the tedious operations to traversal small population to find certain superior individuals as subtrees like the MRTS method.Experimental results on solving artificial ant problem indicate that our proposed algorithm is more effective and efficient than the previous hBOA-based MOSES." @default.
- W2365206910 created "2016-06-24" @default.
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- W2365206910 date "2009-01-01" @default.
- W2365206910 modified "2023-09-26" @default.
- W2365206910 title "Hierarchical Statistical Structure Model of Program Trees and MOSES Algorithm Improvement" @default.
- W2365206910 hasPublicationYear "2009" @default.
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