Solving Engineering Design Problems by Social Cognitive Optimization

Abstract

Social cognitive optimization (SCO) is a simple behavioral model based on human social cognition. By formalizing the fundamental social cognitive agent, the single-agent and multiagent models of SCO are studied. After realizing the goodness evaluation, the experiments results of SCO are compared with existing results on five engineering design problems, which show that SCO can get high-quality solutions efficiently, even by the single-agent model.

DOI: 10.1007/978-3-540-24854-5_27

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Cite this paper

@inproceedings{Xie2004SolvingED, title={Solving Engineering Design Problems by Social Cognitive Optimization}, author={Xiao-Feng Xie and Wenjun Zhang}, booktitle={GECCO}, year={2004} }