Social cognitive optimization for nonlinear programming problems
Xiaofeng Xie, Wen-Jun Zhang, Zhi-Lian Yang · 2003
Social cognitive optimization (SCO) for solving nonlinear programming problems (NLP) is presented based on human intelligence with the social cognitive theory (SCT). Experiments comparing SCO with genetic algorithms on some benchmark functions show that the former can produce high-quality solutions efficiently, even with only one learning agent.