اکبری، م. بنازاده، ا. 1396. برنامه ریزی بهینۀ زمان بندی پمپاژ به مخازن شبکه های توزیع آب با کنترل هزینۀ استهلاک پمپ ها، نشریه علمی پژوهشی مهندسی و مدیریت انرژی، سال هفتم، شماره4، صفحات 42 تا 51.
رجبپور، ر. بیدختی، ط. رخشندهرو، غ. 1394. ارائه یک الگوریتم جدید G-JPSO و توسعه آن در کنترل پمپها در شبکه توزیع آب، مجله مهندسی آب و فاضلاب، شماره 6، صفحات 1 تا 14.
سامی کشکولی، ب. بهرامی، م. 1395. بهرهبرداری بهینه از ایستگاههای پمپاژ سیستمهای تامین آب با استفاده از الگوریتم جامعه زنبورهای عسل مصنوعی (ABC)، نشریه پژوهشهای حفاظت آب و خاک گرگان، جلد 23، شماره 5، صفحات 175 تا 189.
سامی کشکولی، ب. بهرامی، م. 1395. بهرهبرداری بهینه از سامانهی آبکشی متوالی سامانهی انتقال آب شیراز با استفاده از الگوریتم ژنتیک، مجله مهندسی منابع آب، سال دهم، شماره 1، صفحات 1 تا 12.
Barán, B., Von Lücken, C. and Sotelo, A., 2005. Multi-objective pump scheduling optimisation using evolutionary strategies. Advances in Engineering Software, 36(1), pp.39- 47.doi.org/10.1016/j.advengsoft.2004.03.012.
Bonvin, G., Demassey, S. and Lodi, A., 2019. Pump scheduling in drinking water distribution networks with an LP/NLP-based branch and bound.
Boulos, P.F., Wu, Z., Orr, C.H., Moore, M., Hsiung, P. and Thomas, D., 2001. Optimal pump operation of water distribution systems using genetic algorithms. In Distribution system symposium.
Castro-Gama, M., Pan, Q., Lanfranchi, E.A., Jonoski, A. and Solomatine, D.P., 2017. Pump scheduling for a large water distribution network. Milan, Italy. Procedia Engineering, 186, pp.436-443. doi.org/10.1016/j.proeng.2017.03.249.
Chase, D.V. and Ormsbee, L.E., 1993. Computer‐Generated Pumping Schedules for Satisfying Operational Objectives. Journal‐American Water Works Association, 85(7), pp.54-61. doi.org/10.1002/j.1551-8833.1993.tb06024.x.
Deb, K., Pratap, A., Agarwal, S. and Meyarivan, T.A.M.T., 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE transactions on evolutionary computation, 6(2), pp.182-197.
Fatemi, S.A., Kuh, A. and Gupta, V., 2016. Energy efficient scheduling algorithms for pumping water in radial networks. In 2016 Information Theory and Applications Workshop (ITA) (pp. 1-6). IEEE.
Goldman, F.E. and Mays, L.W., 1999. The application of simulated annealing to the optimal operation of water systems. In WRPMD'99: Preparing for the 21st Century (pp. 1-16).
Kurek, W. and Ostfeld, A., 2013. Multi-Objective Water Distribution Systems Control of Pumping Cost, Water Quality, and Storage-Reliability Constraints. Journal of Environmental Management, 115, pp.189-197. doi.org/10.1016/j.jenvman.2012.11.030.
Lansey, K.E. and Awumah, K., 1994. Optimal pump operations considering pump switches. Journal of Water Resources Planning and Management, 120(1), pp.17-35. doi.org/10.1061/(ASCE)0733-9496(1994)120:1(17).
López-Ibáñez, M., Prasad, T.D. and Paechter, B., 2008. Ant colony optimization for optimal control of pumps in water distribution networks. Journal of water resources planning and management, 134(4), pp.337-346.
Mackle, G., Savic, G.A. and Walters, G.A., 1995, September. Application of genetic algorithms to pump scheduling for water supply. In First international conference on genetic algorithms in engineering systems: innovations and applications (pp. 400-405). IET.
Menke, R., Abraham, E., Parpas, P. and Stoianov, I., 2016. Demonstrating demand response from water distribution system through pump scheduling. Applied Energy, 170, pp.377-387.
Rodin, S.I. 1998. Use of genetic algorithm for optimal control of bulk water supply. [Online]. http://stullia.t-k.ru/waterpump/ waterpump.htm. [May 5, 2001].
Rodin, S.I., and M. Moradi-Jalal. 2002 Use of genetic algorithm in optimization of irrigation pumping stations. WAPIRRA program. [Online]. http://stullia.tk. ru/waterpump/waterpump.htm. [June 10, 2002].
Savic, D.A., Walters, G.A. and Schwab, M., 1997, April. Multiobjective genetic algorithms for pump scheduling in water supply. In AISB international workshop on evolutionary computing (pp. 227-235). Springer, Berlin, Heidelberg. doi.org/10.1007/BFb0027177.
Van Zyl, J.E., Savic, D.A. and Walters, G.A., 2004. Operational optimization of water distribution systems using a hybrid genetic algorithm. Journal of water resources planning and management, 130(2), pp.160-170.