Global optimization via evolutionary search with soft selection
نویسندگان
چکیده
The aim of this work is to draw a comparison of four variants of the Evolutionary Search with Soft Selection (ESSS) algorithms based on selected parameter optimization problems. They are tested with nine objective functions, most of them being strongly non-linear and multimodal. From the results obtained it follows that all modified ESSS algorithms are more effective and generally faster than the basic ESSS algorithm.
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تاریخ انتشار 2000