Social cognitive optimization for nonlinear programming problems
نویسندگان
چکیده
Social cognitive optimization (SCO) for solving nonlinear programming problems (NLP) is presented based on human intelligence with the social cognitive theory (SCT). The experiments by comparing SCO with genetic algorithms on some benchmark functions show that it can get highquality solutions efficiently, even by only one learning agent.
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تاریخ انتشار 2007