Multiobjective Hooke–Jeeves algorithm with a stochastic Newton–Raphson-like step-size method

作者：

Highlights：

• The multiobjective version of Hooke–Jeeves (MOJH) algorithm is proposed.

• New step size methodology from Newton–Raphson (NR) Algorithm is integrated on (MOJH).

• The performance of MOJH is improved with NR-based stochastic step size method.

摘要

•The multiobjective version of Hooke–Jeeves (MOJH) algorithm is proposed.•New step size methodology from Newton–Raphson (NR) Algorithm is integrated on (MOJH).•The performance of MOJH is improved with NR-based stochastic step size method.

论文关键词：Hooke–Jeeves,Multiobjective,optimization,Newton–Raphson,MOEAD

论文评审过程：Received 10 January 2018, Revised 24 August 2018, Accepted 13 September 2018, Available online 20 September 2018, Version of Record 1 October 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.09.033