Applications of new hybrid algorithm based on advanced cuckoo search and adaptive Gaussian quantum behaved particle swarm optimization in solving ordinary differential equations

作者：

Highlights：

• Transformation of ordinary differential equation to optimization problem.

• Hybrid algorithm based on cuckoo search & advanced particle swarm optimization.

• Testing of stability of the algorithm by convergence graph & statistical analysis.

• Finding superiority of the algorithm by non-parametrical statistical test.

摘要

•Transformation of ordinary differential equation to optimization problem.•Hybrid algorithm based on cuckoo search & advanced particle swarm optimization.•Testing of stability of the algorithm by convergence graph & statistical analysis.•Finding superiority of the algorithm by non-parametrical statistical test.

论文关键词：Hybrid algorithm,AGQPSO,Cuckoo search algorithm,Differential equations

论文评审过程：Received 3 June 2020, Revised 24 November 2020, Accepted 19 January 2021, Available online 26 January 2021, Version of Record 16 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114646