Hybrid genetic deflated Newton method for global optimisation
作者：
Highlights：
• New hybrid optimisation scheme.
• Optima are removed from objective function by deflation.
• Resulting algorithm combines strength of local and global optimisation schemes.
• Algorithm finds multiple solutions if they exist.
• Algorithm outperforms genetic algorithms and traditional hybrid methods.
摘要
•New hybrid optimisation scheme.•Optima are removed from objective function by deflation.•Resulting algorithm combines strength of local and global optimisation schemes.•Algorithm finds multiple solutions if they exist.•Algorithm outperforms genetic algorithms and traditional hybrid methods.
论文关键词：Hybrid optimisation,Deflated Newton,Genetic algorithm
论文评审过程：Received 18 August 2016, Revised 23 January 2017, Available online 8 May 2017, Version of Record 19 May 2017.
论文官网地址：https://doi.org/10.1016/j.cam.2017.04.047
