Optimal design of multi-storage network for combined sewer overflow management using a diversity-guided, cyclic-networking particle swarm optimizer – A case study in the Gunja subcatchment area, Korea

作者：

Highlights：

• Multiple, distributed storage tanks to manage combined sewer overflows are optimally designed.

• Combined, large-scale complex sewer network in the Gunja subcatchment area is introduced.

• Diversity-guided, cyclic-networking particle swarm optimizer is proposed.

• Optimal configure the multiple storage tanks in terms of their location and storage capacity is achieved.

摘要

•Multiple, distributed storage tanks to manage combined sewer overflows are optimally designed.•Combined, large-scale complex sewer network in the Gunja subcatchment area is introduced.•Diversity-guided, cyclic-networking particle swarm optimizer is proposed.•Optimal configure the multiple storage tanks in terms of their location and storage capacity is achieved.

论文关键词：Combined sewer overflow,Distributed storage tanks,Optimal storage planning,Evolutionary algorithm,Particle swarm optimization

论文评审过程：Available online 4 May 2015, Version of Record 31 May 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.04.049