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Year 2019, Volume: 3 Issue: 2, 2 - 15, 12.07.2019
https://doi.org/10.31807/tjwsm.449553

Abstract

References

  • Afshar, M. H., & Marino, M. A. (2005). A Convergent Genetic Algorithm for Pipe Network Optimization. Scientia Iranica, 12 (4), pp.392-401.
  • Alperovits E., & Shamir, U. (1977). Design of optimal water distribution systems. Water Resources Research, 13(6), pp.885-900.
  • Babu, K. S. J., & Vijayalakshmi, D. P. (2013). Self-Adaptive PSO-GA Hybrid Model for Combinatorial Water Distribution Network Design. Journal of Pipeline Systems Engineering and Practise, 4, pp.57-67.
  • Cisty, M. (2010). Hybrid Genetic Algorithm and Linear Programming Method for Least-Cost Design of Water Distribution Systems. Water Resources Management, 24, pp.1-24.
  • Cunha, M. C., Ribeiro, L. (2004). Tabu search algorithms for water network optimization. European Journal of Operational Research, 157, pp.746-758.
  • Cunha, M. C., & Sousa, J. (1999). Water Distribution Network Design Optimization: Simulated Annealing Approach. Journal of Water Resources Planning and Management, 125 (4), pp.215-221.
  • Dandy, G. C., & Engelhardt, M. O. (2006). "Multi-objective trade-offs between cost and reliability in the replacement of water mains." J. Water Resour. Plann. Manage., 132 (2), pp.79–88.
  • Fujiwara, O., & Khang, D. B. (1990). A two-phase decomposition method for optimal design of looped water distribution networks. Water Resources Research, 26 (4), pp.539-549.
  • Geem, Z. W. (2009). Particle –swarm harmony search for water network design. Engineering Optimization, No.4, pp.297-311.
  • Kadu, M. S., Gupta R., & Bhave, P. R. (2008). Optimal Design of Water Networks Using a Modified Genetic Algorithm with Reduction in Search Space. Journal of Water Resources Planning and Management, pp.147-160.
  • Karaboğa, D. (2004). Yapay Zeka Optimizasyon Algoritmaları, 1. Baskı, Noble Basımevi (in Turkish).
  • Karaboğa, D. (2005). An Idea on Honey Bee Swarm for Numerical Optimization. Erciyes University Engineering Faculty Computer Engineering Department Technical Report – TR06, Kayseri – Türkiye, pp.1-10.
  • Kennedy, J., & Eberhart, R. (1995). Particle Swarm Optimization. Proc. IEEE International Conference on Neural Networks IV, pp.1942-1948.
  • Murphy, L. J., Simpson, A. R., & Dandy, G. C. (1993). Design of a pipe network using genetic algorithms. Water, 20 (4), pp.40–42.
  • Ozdağlar, D., Benzeden E., & Kahraman, A. M. (2006). Kompleks Su Dağıtım Şebekelerinin Genetik Algoritma ile Optimizasyonu. Technical Journal, pp.3851-3867 (in Turkish).
  • Perelman, L., & Ostfeld, A. (2007). An adaptive heuristic cross-entropy for optimal design of water distribution systems. Engineering Optimization, 39 (4), pp.413-428.
  • Quindry, G. E., Brill, E. D., & Liebman, J. C. (1981). Optimization of looped water distribution systems. Journal of the Environmental Engineering Division ASCE, 107 (4), pp.665-679.
  • Schaake, J., & Lai, D. (1969). Linear Programming and Dynamic Programming Application of Water Distribution Network Design. Report 116, MIT Press: Cambridge, MA.
  • Tospornsampan, J., Kıta, I., Ishii, M., & Kitamura, Y. (2007). Split-Pipe Design of Water Distribution Network Using Simulated Annealing. International Journal of Computer and Information Engineering, 1 (3), pp.154-164.
  • Vasan, A., & Simonovic, S. P. (2010). Optimization of Water Distribution Network Design Using Differential Evolution. Journal of Water Resources Planning and Management, 136 (2), pp.279-287.
  • Yilmaz, V. (2015). Optimization of Water Distribution Networks Using Metaheuristic Methods. PhD Thesis, Department of Civil Engineering, The Graduate School of Natural and Applied Science of Selçuk University, Konya.

Cost Optimization of Hanoi Water Distribution Network with Meta-Heuristic Optimization Algorithms

Year 2019, Volume: 3 Issue: 2, 2 - 15, 12.07.2019
https://doi.org/10.31807/tjwsm.449553

Abstract

Gerekli suyun toplanmasından
kullanıcılara ulaştırılmasına kadar geçen bir süreç içerisinde su iletim ve
dağıtım sistemlerinin yüksek maliyet değerleri içerdiği görülmektedir. Su
iletim sistemlerinde daha az sayıda seçeneğin bulunmasına karşılık su dağıtım
şebekeleri istenen şartları sağlayan daha fazla olası çözümü içermektedir. Zamanla,
minimum maliyet değerine sahip olan en iyi sistemin tasarlanması bir
optimizasyon problemi haline gelmiştir. Son 50 yıldır bilgisayar
teknolojilerindeki gelişme ile birlikte çeşitli optimizason algoritmaları
ortaya atılmış ve bu algoritmalar su dağıtım şebekelerinin maliyet
optimizasyonu konusunda kullanılarak algoritmaların performansları
değerlendirilmiştir. Bu çalışmada literatürde yaygın olarak kullanılmış olan
Parçacık Sürü Optimizasyon ve Genetik Algoritma yöntemlerine ilave olarak diğer
iki yönteme kıyasla daha yakın zamanda ortaya atılmış olan Yapay Arı Kolonisi
algoritması ile Hanoi su dağıtım şebekesi üzerinde maliyet optimizasyonu
yapılmıştır. Mevcut çalışma için en başarılı algoritmanın belirlenmesi için yakınsama
hızı, tutarlılık ve sonuçların dağılımı karşılaştırmalı performans analizi
kapsamında incelenmiştir.  

References

  • Afshar, M. H., & Marino, M. A. (2005). A Convergent Genetic Algorithm for Pipe Network Optimization. Scientia Iranica, 12 (4), pp.392-401.
  • Alperovits E., & Shamir, U. (1977). Design of optimal water distribution systems. Water Resources Research, 13(6), pp.885-900.
  • Babu, K. S. J., & Vijayalakshmi, D. P. (2013). Self-Adaptive PSO-GA Hybrid Model for Combinatorial Water Distribution Network Design. Journal of Pipeline Systems Engineering and Practise, 4, pp.57-67.
  • Cisty, M. (2010). Hybrid Genetic Algorithm and Linear Programming Method for Least-Cost Design of Water Distribution Systems. Water Resources Management, 24, pp.1-24.
  • Cunha, M. C., Ribeiro, L. (2004). Tabu search algorithms for water network optimization. European Journal of Operational Research, 157, pp.746-758.
  • Cunha, M. C., & Sousa, J. (1999). Water Distribution Network Design Optimization: Simulated Annealing Approach. Journal of Water Resources Planning and Management, 125 (4), pp.215-221.
  • Dandy, G. C., & Engelhardt, M. O. (2006). "Multi-objective trade-offs between cost and reliability in the replacement of water mains." J. Water Resour. Plann. Manage., 132 (2), pp.79–88.
  • Fujiwara, O., & Khang, D. B. (1990). A two-phase decomposition method for optimal design of looped water distribution networks. Water Resources Research, 26 (4), pp.539-549.
  • Geem, Z. W. (2009). Particle –swarm harmony search for water network design. Engineering Optimization, No.4, pp.297-311.
  • Kadu, M. S., Gupta R., & Bhave, P. R. (2008). Optimal Design of Water Networks Using a Modified Genetic Algorithm with Reduction in Search Space. Journal of Water Resources Planning and Management, pp.147-160.
  • Karaboğa, D. (2004). Yapay Zeka Optimizasyon Algoritmaları, 1. Baskı, Noble Basımevi (in Turkish).
  • Karaboğa, D. (2005). An Idea on Honey Bee Swarm for Numerical Optimization. Erciyes University Engineering Faculty Computer Engineering Department Technical Report – TR06, Kayseri – Türkiye, pp.1-10.
  • Kennedy, J., & Eberhart, R. (1995). Particle Swarm Optimization. Proc. IEEE International Conference on Neural Networks IV, pp.1942-1948.
  • Murphy, L. J., Simpson, A. R., & Dandy, G. C. (1993). Design of a pipe network using genetic algorithms. Water, 20 (4), pp.40–42.
  • Ozdağlar, D., Benzeden E., & Kahraman, A. M. (2006). Kompleks Su Dağıtım Şebekelerinin Genetik Algoritma ile Optimizasyonu. Technical Journal, pp.3851-3867 (in Turkish).
  • Perelman, L., & Ostfeld, A. (2007). An adaptive heuristic cross-entropy for optimal design of water distribution systems. Engineering Optimization, 39 (4), pp.413-428.
  • Quindry, G. E., Brill, E. D., & Liebman, J. C. (1981). Optimization of looped water distribution systems. Journal of the Environmental Engineering Division ASCE, 107 (4), pp.665-679.
  • Schaake, J., & Lai, D. (1969). Linear Programming and Dynamic Programming Application of Water Distribution Network Design. Report 116, MIT Press: Cambridge, MA.
  • Tospornsampan, J., Kıta, I., Ishii, M., & Kitamura, Y. (2007). Split-Pipe Design of Water Distribution Network Using Simulated Annealing. International Journal of Computer and Information Engineering, 1 (3), pp.154-164.
  • Vasan, A., & Simonovic, S. P. (2010). Optimization of Water Distribution Network Design Using Differential Evolution. Journal of Water Resources Planning and Management, 136 (2), pp.279-287.
  • Yilmaz, V. (2015). Optimization of Water Distribution Networks Using Metaheuristic Methods. PhD Thesis, Department of Civil Engineering, The Graduate School of Natural and Applied Science of Selçuk University, Konya.
There are 21 citations in total.

Details

Primary Language English
Journal Section TURKISH JOURNAL OF WATER SCIENCES AND MANAGEMENT
Authors

Volkan Yılmaz

Meral Büyükyıldız This is me

Ömer Kaan Baykan This is me

Publication Date July 12, 2019
Published in Issue Year 2019 Volume: 3 Issue: 2

Cite

APA Yılmaz, V., Büyükyıldız, M., & Baykan, Ö. K. (2019). Cost Optimization of Hanoi Water Distribution Network with Meta-Heuristic Optimization Algorithms. Turkish Journal of Water Science and Management, 3(2), 2-15. https://doi.org/10.31807/tjwsm.449553