Multiobjective Genetic Optimization Approach to Identify Pipe Segment Replacements and Inline Storages to Reduce Sanitary Sewer Overflows
Crossref DOI link: https://doi.org/10.1007/s11269-016-1373-z
Published Online: 2016-06-03
Published Print: 2016-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ogidan, Olufunso
Giacomoni, Marcio
Funding for this research was provided by:
San Antonio Water System (SAWS) (CD-M-14-040-MR)
License valid from 2016-06-03