USEP, Response protocol toolbox–Public health response guide, Module 5, in: http://www.epa.gov/watersecurity/pubs/ guide_response_module5.pdf (Ed.), 2004.
 T. M. Baranowski, E. J. LeBoeuf, Consequence Management Optimization for Contaminant Detection and Isolation, Journal of Water Resources Planning and Management, 132(4) (2006) 274–282.
 T.M. Baranowski, E.J. LeBoeuf, Consequence management utilizing optimization, Journal of Water Resources Planning and Management, 134(4) (2008) 386-394.
 A. Preis, A. Ostfeld, Multiobjective contaminant response modeling for water distribution systems security, Journal of Hydroinformatics, 10(4) (2008) 267-274.
 L. Alfonso, A. Jonoski, D. Solomatine, Multiobjective optimization of operational responses for contaminant flushing in water distribution networks, Journal of Water Resources Planning and Management, 136(1) (2009) 48-58.
 A. Rasekh, K. Brumbelow, Adaptive emergency response to water distribution system contamination events, in World Environmental and Water Resources Congress 2012, (2012) 2981–2986.
 Rasekh, K. Brumbelow, A dynamic simulation–optimization model for adaptive management of urban water distribution system contamination threats, Applied Soft Computing, 32 (2015) 59-71.
 E. Salomons, A. Ostfeld, Slug Feed Optimal Disinfection of Water Distribution Networks Following a Contamination Event, in: World Environmental and Water Resources Congress 2016, 516-522.
 R. Taormina, S. Galelli, N.O. Tippenhauer, E. Salomons, A. Ostfeld, Characterizing cyber-physical attacks on water distribution systems, Journal of Water Resources Planning and Management, 143(5) (2017) 04017009.
 S.N. Bashi-Azghadi, M.H. Afshar, A. Afshar, Multi-objective optimization response modeling to contaminated water distribution networks: Pressure driven versus demand driven analysis, KSCE Journal of Civil Engineering, 21(6) (2017) 2085-2096.
 M. Zafari, M. Tabesh, and S. Nazif, S. Minimizing the Adverse Effects of Contaminant Propagation in Water Distribution Networks Considering the Pressure-Driven Analysis Method. Journal of Water Resources Planning and Management, 143(12) (2017), p.04017072.
 M.A., Khaksar Fasaee, M.R. Nikoo, P. Hashempour Bakhtiari, S. Monghasemi, M. SAdegh, A novel dynamic hydrant flushing framework facilitated by categorizing contamination events Urban Water Journal, (2020), 1-13.
 H. Strickling, M. DiCarlo, M. Shafiee, E. Berglund
, Simulation of containment and wireless emergency alerts within targeted pressure zones for water contamination management, Sustainable Cities and Society, 52(2020), 101820.
 J. Knowles, D. Corne, The pareto archived evolution strategy: A new baseline algorithm for pareto multiobjective optimization, in: Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), IEEE, 1999, pp. 98-105.
 J.D. Knowles, D.W. Corne, Approximating the nondominated front using the Pareto archived evolution strategy, Evolutionary computation, 8(2) (2000) 149-172.
 J.E. Fieldsend, R.M. Everson, S. Singh, Using unconstrained elite archives for multiobjective optimization, IEEE Transactions on Evolutionary Computation, 7(3) (2003) 305-323.
 S. Tiwari, G. Fadel, K. Deb, AMGA2: improving the performance of the archive-based micro-genetic algorithm for multi-objective optimization, Engineering Optimization, 43(4) (2011) 377-401.
 S. Tiwari, P. Koch, G. Fadel, K. Deb, AMGA: an archive-based micro genetic algorithm for multi-objective optimization, in: Proceedings of the 10th annual conference on Genetic and evolutionary computation, 2008, pp. 729-736.
 M.A.H. Abdy Sayyed, R. Gupta, T.T. Tanyimboh, Noniterative Application of EPANET for Pressure Dependent Modelling of Water Distribution Systems, Water Resources Management, 29 (2015) 3227–3242.
 K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE transactions on evolutionary computation, 6(2) (2002) 182-197.
 A. Ostfeld, E. Salomons, Optimal layout of early warning detection stations for water distribution systems security, Journal of Water Resources Planning and Management, 130(5) (2004) 377-385.