Improvement of evolution process of dandelion algorithm with extreme learning machine for global optimization problems
作者：
Highlights：
• An improvement of evolution process of dandelion algorithm is proposed.
• Extreme learning machine is introduced to judge the quality of the solution.
• The robustness of the proposed algorithm is analyzed.
• The convergence analysis of the proposed algorithm is given.
• Experimental results indicate a competitive performance of the proposed algorithm.
摘要
•An improvement of evolution process of dandelion algorithm is proposed.•Extreme learning machine is introduced to judge the quality of the solution.•The robustness of the proposed algorithm is analyzed.•The convergence analysis of the proposed algorithm is given.•Experimental results indicate a competitive performance of the proposed algorithm.
论文关键词：Dandelion algorithm,Extreme learning machine,Excellent seeds,Poor seeds,Training set,Training model
论文评审过程：Received 15 November 2019, Revised 28 July 2020, Accepted 29 July 2020, Available online 1 August 2020, Version of Record 5 August 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113803
