Toward sustainable water quality monitoring systems using particle swarm, Ant Colony, and Tabu Search optimization methods

Author:

Jahankhani EhsanORCID,Asadollahfardi GholamrezaORCID,Samadi Amirmohsen

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference37 articles.

1. Afshar, A., Mariño, M.A.: Multi-objective coverage-based ACO model for quality monitoring in large water networks. Water Resour. Manag. 26, 2159–2176 (2012). https://doi.org/10.1007/S11269-012-0008-2/METRICS

2. Afshar, A., Maknoon, R., Afshar, A.: Optimum layout for water quality monitoring stations through ant colony algorithm. J. Water Wastewater. 59, 2–11 (2006)

3. Asadollahfardi, G., Khodadai, A., Azimi, A., Jafarnejad, M., Shahoruzi, M.: Multiple criteria assessment of water quality monitoring system in Karoon River. J. Int. Environ. Appl. Sci. 6, 434–442 (2011)

4. Asadollahfardi, G., Asadi, M., Nasrinasrabadi, M., Faraji, A.: Dynamic programming approach (DPA) for assessment of water quality network: a case study of the Sefīd-Rūd River. Water Pract. Technol. 9, 135–149 (2014)

5. Asadollahfardi, G., Heidarzadeh, N., Mosalli, A., Sekhavati, A.: Optimization of water quality monitoring stations using genetic algorithm, a case study, Sefid-Rud River, Iran. Adv. Environ. Res. 7, 87–107 (2018)

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