ارزیابی الگوریتم‌های ژنتیک و ازدحام ذرات با تکیه بر رویکرد مرتب‌سازی نامغلوب برای بهینه‌سازی چندهدفه بهره‌برداری از مخازن

1.Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T. 2002. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans Evolutionary Computing, Indian. 6: 2. 182-197.

2.Farahnakian, T., Moeini, R., and Mousavi, S. 2018. Optimal operation of single-reservoir system of Dez dam using charged system search algorithm. J. Water Soil Cons. 25: 1. 107-125.(In Persion)

3.Guo, X., Hu, T., Wu, C., Zhang, T., and Lv, Y. 2013. Multi-objective optimization of the proposed multi-reservoir operating policy using improved NSPSO-II. Water resources management, 27: 7. 2137-2153.

4.Li, X. 2003. July. A non-dominated sorting particle swarm optimizer for multiobjective optimization. In Genetic and Evolutionary Computation Conference (pp. 37-48). Springer, Berlin, Heidelberg. Optimization. In Genetic and Evolutionary Computation Conference (pp. 37-48). Springer, Berlin, Heidelberg.

5.Mazandaranizadeh, H., Piadeh Koohsar, J., and Sadr, S. 2019. Evaluation of GA and PSO optimization algorithms in operation of multi-reservoir systems Case study: Gorgan-Rood basin dams. J. Water Soil Cons. 26: 2. 239-250.

6.Mazandaranizadeh, H., and Parhizkari, M. 2019. Multi-objective optimization of hydropwoer multi-objective optimization of hydropower reservoirs operation based on the pattern of PAB markets. Dam and Hydroelectric Powerplant. 5: 19. 52-61.

7.Mohammad Rezapour, O. 2016. Comparison of imperialist competitive algorithm (ICA) and Ant colony algorithm (ACO) for optimizing exploitation of doroudzan reservoir with application chain constraints approach.J. Water Soil Cons. 22: 6. 231-243.(In Persion) 

8.Mohammad Rezapour, O. 2016. Optimization of water network distribution using fast messy genetic and firefly algorithms in relopt model (Case study: Havanirouz Township, Kerman).J. Water Soil Cons. 23: 4. 45-64.(In Persion)

9.Mohammadrezapour, O., and Zeynali, M.J. 2013. Comparison of meta-heuristic algorithms in the optimal operation
of multi – reservoir (a case study: Golestan and Voshmgir Dams). JWSS. 22: 1. 291-303. (In Persion) 

10.Nozari, H., and Vafaee, M. 2018. Determining the accuracy of the dynamic system in simulating and optimizing the rule curves of the dam reservoir (Case Study: Choghakhor dam). J. Water Soil Cons. 25: 5. 89-107. (In Persion)

11.Schott, J.R. 1995. Fault tolerant design using single and multicriteria genetic algorithm optimization (No. AFIT/CI/ CIA-95-039). AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH.

12.Srinivasan, K., and Kumar, K. 2018. Multi-objective simulation-optimization model for long-term reservoir operation using piecewise linear hedging rule. Water Resources Management,32: 5. 1901-1911.

13.Zeynali, M., Mohammad Reza Pour, O., and Frooghi, F. 2015. Evaluation of particle swarm, genetic and continuous ant colony algorithms in optimal operation of doroodzan dam reservoir. Water and Soil Science, 25: 3. 27-38.(In Persion)