Review of Knowledge Guidance in Intelligent Optimization Approaches

摘要：

　　The interaction between learning and evolution has recently become a popular research direction.Many scholars make use of knowledge to strengthen the guidance process in intelligent optimization methods.We review knowledge guidance in intelligent optimization approaches,which is normally carried out through artificial intelligence approaches and special knowledge models.Some researchers have also proposed algorithms with a double-layer evolution mechanism.These improved methods are able to discover some knowledge from previous iterations and to use the discovered knowledge to guide subsequent iterations.

关键词： Artificial intelligence Intelligent optimization approaches Knowledge guidance

作者: Lining Xing

作者单位: College of Information System and Management,National University of Defense Technology,Changsha 410073,Peoples Republic of China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 287-295

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）