Optimization of teacher volunteer transferring problems using greedy genetic algorithms

作者：

Highlights：

• This paper proposes a greedy GA to solve teacher volunteer transferring problems.

• The proposed GONSGA has better solution scalability than the other two methods.

• Real-world transferring cases are studied to verify the proposed approach.

• Compared to the official data, our approach obtains much better results.

摘要

•This paper proposes a greedy GA to solve teacher volunteer transferring problems.•The proposed GONSGA has better solution scalability than the other two methods.•Real-world transferring cases are studied to verify the proposed approach.•Compared to the official data, our approach obtains much better results.

论文关键词：Combinational optimization,Volunteer transferring,Greedy search,Genetic algorithm,Neighborhood search

论文评审过程：Available online 27 August 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.08.020