A novel Multiple Objective Symbiotic Organisms Search (MOSOS) for time–cost–labor utilization tradeoff problem

作者：

Highlights：

• This research presents a novel multiple optimization algorithm MOSOS.

• MOSOS is applied to solve time-cost-utilization work shift tradeoff problem.

• The model performance is demonstrated in the experimental results.

• Statistical test found MOSOS to provide better solutions compared to other methods.

摘要

•This research presents a novel multiple optimization algorithm MOSOS.•MOSOS is applied to solve time-cost-utilization work shift tradeoff problem.•The model performance is demonstrated in the experimental results.•Statistical test found MOSOS to provide better solutions compared to other methods.

论文关键词：Work shift,Scheduling,Multi-objective analysis,Symbiotic Organisms Search,Time-cost-resource tradeoff

论文评审过程：Received 28 March 2015, Revised 21 November 2015, Accepted 24 November 2015, Available online 1 December 2015, Version of Record 7 January 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.11.016