EA-MSCA: An effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and analysis

作者：

Highlights：

• A proposed multi-objective SCA to improve its performance when solving the TSMPS.

• To improve the performance of EA-M2SCA, the polynomial mutation was integrated.

• The proposed algorithms are referred to as EA-MHSCA and EA-M2SCA.

• EA-MHSCA and EA-M2SCA are compared with a number of known multi-objective algorithms.

摘要

•A proposed multi-objective SCA to improve its performance when solving the TSMPS.•To improve the performance of EA-M2SCA, the polynomial mutation was integrated.•The proposed algorithms are referred to as EA-MHSCA and EA-M2SCA.•EA-MHSCA and EA-M2SCA are compared with a number of known multi-objective algorithms.

论文关键词：Multiprocessors system,Energy,Sine-cosine algorithm,Task scheduling,Polynomial mutation

论文评审过程：Received 25 November 2020, Revised 14 January 2021, Accepted 6 February 2021, Available online 13 February 2021, Version of Record 26 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114699