A novel approach for automated land partitioning using genetic algorithm

作者：

Highlights：

• This paper proposes a new approach for automated land partitioning.

• Genetic algorithm is used by proposed approach (ALP-GA).

• The proposed method is compared with the designer on a project area.

• The experimental results show that the ALP-GA is more successful than the designer.

• Land partitioning plan is completed automatically about eight hours by the ALP-GA.

摘要

•This paper proposes a new approach for automated land partitioning.•Genetic algorithm is used by proposed approach (ALP-GA).•The proposed method is compared with the designer on a project area.•The experimental results show that the ALP-GA is more successful than the designer.•Land partitioning plan is completed automatically about eight hours by the ALP-GA.

论文关键词：Genetic algorithm,Automated land partitioning,Optimization,Land consolidation

论文评审过程：Received 17 December 2016, Revised 16 February 2017, Accepted 22 March 2017, Available online 2 April 2017, Version of Record 7 April 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.03.067