Hybrid multiple objective artificial bee colony with differential evolution for the time–cost–quality tradeoff problem

作者：

Highlights：

• This study presents a novel hybrid multiple optimization algorithm MOABCDE.

• Hybrid operation is utilized to balance exploration and exploitation capability.

• MOABCDE is applied to solve time cost quality tradeoff problem.

• The model performance is demonstrated in the experimental result.

摘要

•This study presents a novel hybrid multiple optimization algorithm MOABCDE.•Hybrid operation is utilized to balance exploration and exploitation capability.•MOABCDE is applied to solve time cost quality tradeoff problem.•The model performance is demonstrated in the experimental result.

论文关键词：Multi-objective analysis,Artificial bee colony,Differential evolution,Time–cost–quality tradeoff,Construction management

论文评审过程：Received 23 May 2014, Revised 5 November 2014, Accepted 15 November 2014, Available online 21 November 2014.

论文官网地址：https://doi.org/10.1016/j.knosys.2014.11.018