A multi-objective worker selection scheme in crowdsourced platforms using NSGA-II

作者：

Highlights：

• Use of an approach based on NSGA-II to assign workers to the tasks.

• Adaptation of the different NSGA-II operators to the problem domain.

• A detailed time complexity analysis of the proposed approach.

• Extensive experiments to demonstrate the efficacy of the proposed approach.

摘要

•Use of an approach based on NSGA-II to assign workers to the tasks.•Adaptation of the different NSGA-II operators to the problem domain.•A detailed time complexity analysis of the proposed approach.•Extensive experiments to demonstrate the efficacy of the proposed approach.

论文关键词：Crowdsourcing,Team formation,Non-dominated sorting

论文评审过程：Received 8 May 2021, Revised 16 December 2021, Accepted 25 March 2022, Available online 7 April 2022, Version of Record 25 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116991