An improved Jaya optimization algorithm with Lévy flight

作者：

Highlights：

• We present the Lévy flight Jaya Algorithm (LJA) for continuous optimization.

• We evaluate the effect of the β parameter on LJA.

• LJA consistently outperforms the original Jaya on most optimization problems.

• We compare LJA with state-of-the-art algorithms on benchmark/industrial problems.

摘要

•We present the Lévy flight Jaya Algorithm (LJA) for continuous optimization.•We evaluate the effect of the β parameter on LJA.•LJA consistently outperforms the original Jaya on most optimization problems.•We compare LJA with state-of-the-art algorithms on benchmark/industrial problems.

论文关键词：Continuous optimization,Swarm intelligence,Jaya,Lévy flight

论文评审过程：Received 8 May 2020, Revised 27 July 2020, Accepted 17 August 2020, Available online 24 August 2020, Version of Record 28 August 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113902