自动化学报2011，Vol.37Issue(11)：1285-1289,5.DOI:10.3724/SP.J.1004.2011.01285
基于知识的智能优化引导方法研究进展
Research Progress on Intelligent Optimization Guidance Approaches Using Knowledge
摘要
Abstract
To improve the performance of intelligent optimization approaches, many researchers have used knowledge to strengthen the optimization process guidance. The intelligent optimization guidance using knowledge is reviewed in this work. The intelligent optimization guidance is normally executed via artificial intelligence approaches and special knowledge models. Also, some researchers have proposed algorithms which have a double layer evolution mechanism. These improved approaches can discover some knowledge from the previous iterations, then use the discovered knowledge to guide the subsequent iterations.关键词
人工智能/智能优化算法/引导/全局收敛/遗传算法/知识模型Key words
Artificial intelligence/ intelligent optimization approaches/ guidance/ global convergence/ genetic algorithm/ knowledge model引用本文复制引用
邢立宁,陈英武..基于知识的智能优化引导方法研究进展[J].自动化学报,2011,37(11):1285-1289,5.基金项目
国家自然科学基金(70971131,70601035,70801062)资助 （70971131,70601035,70801062）
