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自动化学报 2011
Research Progress on Intelligent Optimization Guidance Approaches Using Knowledge
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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 discoverd knowledge to guide the subsequent iterations.