Dynamic Memory Model for Non-Stationary Optimization
نویسندگان
چکیده
Real-world problems are often nonstationary and can cause cyclic, repetitive patterns in the search landscape. For this class of problems, we introduce a new GA with dynamic explicit memory, which showed superior performance compared to a classic GA and a previously introduced memorybased GA for two dynamic benchmark problems.
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تاریخ انتشار 2002