An adaptive Evolutionary Strategy and its Application in the Optimization of the Aircraft Control Law in the Large Flight Envelope

作者：Li Guangwen^*; Jia Qiuling; Shi Jingping

来源：International Conference on Artificial Intelligence and Computational Intelligence, China,Shanghai, 2009-11-07 to 2009-11-08.

DOI：10.1109/AICI.2009.218

• ES
• Sharing mechanism
• Aircraft

The searching precision and the global searching ability of Evolutionary Strategy (ES) depend on the selection of the mutation step. In order to enhance the global searching ability and precision, an adaptive evolutionary strategy based on the feedback and sharing mechanism (ESBFSM) is proposed, in which the information of the current optimal searching result and sharing degree is fed into the mutating formula. By tuning the variance of the mutation operator according to the feedback information, the mutation step of ES is changed with the current searching result. And a part of individuals of the population in the later searching procedure keep higher probability of jumping out of the local minimum by the sharing mechanism. To validate the optimizing effect of the ESBFSM, the optimization of an transport aircraf's control law in the large flight envelope is done by this method, the result shows the ESBFSM is effective in optimization of the complex control system.

• 出版日期2009
• 单位西北工业大学