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An Overview of the Applications of Particle Swarm in Water Resources Optimization

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 202)

Abstract

Optimization methods have evolved over the years to solve many water resources engineering problems of varying complexity. Today researchers are working on soft computing based Meta heuristics for optimization as these are able to overcome several limitations of conventional optimization methods. Particle Swarm is one such swarm intelligence based optimization algorithm which has shown a great potential to solve practical water resources management problems. This paper examines the basic concepts of Particle Swarm Optimization (PSO) and its successful application in the different areas of water resources optimization.

Keywords

Water resources engineering Particle swarm optimization Swarm intelligence 

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References

  1. Clerc, M., The swarm and the queen: towards a deterministic and adaptive particle swarm optimization. Proc. Congress on Evolutionary Computation, 1999 Washington, DC, pp 1951 - 1957. Piscataway, NJ: IEEE Service Centre (1999)Google Scholar
  2. Clerc, M., and Kennedy, J., The particle swarm explosion, stability, and convergence in a multi-dimensional complex space. IEEE Transactions on Evolutionary Computation, vol. 6, p. 58-73 (2002)Google Scholar
  3. Eberhart, R.C., and Kennedy, J., A new optimizer using particle swarm theory. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, 39-43. Piscataway, N J: IEEE Service Centre (1995)Google Scholar
  4. Eberhart, R. C., and Shi, Y.,.Evolving artificial neural networks.Proc. Conference on Neural Networks and Brain, 1998, Beijing, P.R.C., PL5-PL3. (1998)(a)Google Scholar
  5. Eberhart, R. C., and Shi, Y., Comparing inertia weights and constriction factors in particle swarm optimization. Proc. Congress on Evolutionary Computation 2000, San Diego, CA, pp 84-88. Piscataway, NJ: IEEE Service Centre (2000)Google Scholar
  6. Eberhart, R.C., and Shi, Y., Tracking and optimizing dynamic systems with particle swarms. Proc. Congress on Evolutionary Computation 2001, Seoul, Korea. Piscataway, NJ: IEEE Service Centre (2001a)Google Scholar
  7. Eberhart, R.C., and Shi, Y., Particle swarm optimization: developments, applications and resources. Proc. Congress on Evolutionary Computation 2001, Seoul, Korea. Piscataway, NJ: IEEE Service Centre (2001b)Google Scholar
  8. Gaur, S., Chahar, B.R., and Graillot, D., Analytic Element Method and particle swarm optimization based simulation-optimization model for groundwater management. Journal of Hydrology 402, 217 -227 (2011)Google Scholar
  9. Gill, K.M., Kaheil, Y.H., Khalil, A., McKee, M., and Bastidas,L. Multiobjective particle swarm optimization for parameter estimation in hydrology. Journal of Water Resources Research, 42, W07417, 14 PP (2006)Google Scholar
  10. Hongfei, Z., and Jianqing, G., The Application of Particle Swarm Optimization Algorithms to Estimation of Aquifer Parameters from Data of Pumping Test. Proc. 5 th International Conference on Computer Sciences and Convergence information Technology(ICCIT) 2010,Seoul,Korea (2010)Google Scholar
  11. Izquierdo J., Montalvo. I, Perez R., and Tavero M., Optimization in Water Systems: a PSO approach. Proc. Spring Simulation Multi conference 2008, Ottawa, Canada (2008)Google Scholar
  12. Kumar, D.N and Reddy, M.J., Multipurpose Reservoir Operation using Particle Swarm Optimization. Journal of Water Resources Planning and Management 133:3,192-201 (2007)Google Scholar
  13. Loucks P. D., and Oliveira R. Operating rules for multi reservoir systems.Water Resources Research, vol. 33, no. 4, p. 839 (1997)Google Scholar
  14. Mategaonkar M., and Eldho T. I., Groundwater remediation optimization using a point collocation method and particle swarm optimization. Environmental Modelling& Software 32,37-38 (2012)Google Scholar
  15. Mathur, Y. P., Kumar.R., and Pawde, A., A binary particle swarm optimisation for generating optimal schedule of lateral canals.The IES Journal Part A: Civil & Structural Engineering, 3:2, 111-118 (2010)Google Scholar
  16. Mattot S. L., Rabideau J.A., and Craig R. J., Pump-and-treat optimization using analytic element method flow models. Advances in Water Resources 29, 760775 (2006)Google Scholar
  17. Moradi, J.M., Marino, M.A., Afshar, A., Optimal design and operation of irrigation pumping station. Journal of Irrigation and Drainage Engineering129(3), 149154 (2003)Google Scholar
  18. Poli R., An Analysis of Publications on Particle Swarm Optimisation Applications Department of Computer Science University of Essex Technical Report CSM-469(2007)Google Scholar
  19. Poli, R., Kennedy, J., and Blackwell, T., Particle swarm optimization. An overview.Swarm Intelligence, 1(1), 33-57 (2007)Google Scholar
  20. Samuel P.M. and Jha K.M., Estimation of Aquifer Parameters from Pumping Test Data by Genetic Algorithm Optimization Technique. Journal of Irrigation and DrainageEngineering, 129(5): 348-359 (2003)Google Scholar
  21. Theis, C. V., The relation between the lowering of the piezometric surface and the rate and duration of discharge of a well using ground-water storage. Trans. of American Geophysical Union 16:519-52 (1935)Google Scholar
  22. Sharma, A.K., and Swamee, P.K., Cost considerations and general principles in the optimal design of water distribution systems. In: ASCE Conf. Proc., vol. 247, p.85 (2006)Google Scholar
  23. Yuhui Shi., Particle Swarm Optimization. Electronic Data Systems, Inc.IEEE Neural Network Society Magazine (2004)Google Scholar
  24. Zhou C.,Gao L., GaoHaibing, and Peng C., Pattern Classification and Prediction of Water Quality by Neural Network with Particle Swarm Optimization. Proceedings of the 6th World Congress on Control and Automation, June 21 - 23, 2006, Dalian, China (2006)Google Scholar

Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Department of Civil EngineeringIndian Institute of Technology BombayMumbaiIndia

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