Title :
Social cognitive optimization for nonlinear programming problems
Author :
Xie, Xiao-Feng ; Zhang, Wen-Jun ; Yang, Zhi-Lian
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Abstract :
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.
Keywords :
cognitive systems; evolutionary computation; learning (artificial intelligence); nonlinear programming; benchmark functions; evolutionary computation; high-quality solutions; human intelligence; learning agent; nonlinear programming problems; social cognitive optimization; social cognitive theory; vicarious learning; Electronic mail; Evolution (biology); Evolutionary computation; Functional programming; Genetic algorithms; Genetic programming; Humans; Insects; Microelectronics; Testing;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1174487
