Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-03-26
Optical Memory & Neural Networks (Information Optics), 2007, v.16(3) pp.144-153
Computer Science
Neural and Evolutionary Computing
11 pages, 5 figures, PDF-file
Scientific paper
As a rule, a quadratic functional depending on a great number of binary variables has a lot of local minima. One of approaches allowing one to find in averaged deeper local minima is aggregation of binary variables into larger blocks/domains. To minimize the functional one has to change the states of aggregated variables (domains). In the present publication we discuss methods of domains formation. It is shown that the best results are obtained when domains are formed by variables that are strongly connected with each other.
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