Abstract
In the field of alternative energy and sustainability, optimization type problems are regularly encountered. In this paper, the Hypervolume-driven Analytical Programming (Hyp-AP) approaches were developed. This method was then applied to the multiobjective (MO) design optimization of a real-world photovoltaic (PV)-based solar powered irrigation system. This problem was multivariate, nonlinear and multiobjective. The Hyp-AP method was used to construct the approximate Pareto frontier as well as to identify the best solution option. Some comparative analysis was performed on the proposed method and the approach used in previous work.
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Elamvazuthi, I., Ganesan, T., Vasant, P.: A Comparative Study of HNN and Hybrid HNN-PSO Techniques in the Optimization of Distributed Generation (DG) Power Systems. In: International Conference on Advance Computer Science and Information System (ICACSI 2011), pp. 195–199 (2011)
Ganesan, T., Elamvazuthi, I., Shaari, K.Z.K., Vasant, P.: Swarm intelligence and gravitational search algorithm for multi-objective optimization of synthesis gas production. J. of Appl. Energy 103, 368–374 (2013)
Helikson, H.J., Haman, D.Z., Baird, C.D.: Pumping water for irrigation using solar enegy, Fact Sheet (EES-63). University of Florida
Wong, Y.W., Sumathy, K.: Thermodynamic analysis and optimization of a solar thermal water pump. Appl. Thermal Eng. 21, 613–627 (2001)
Zitzler, E., Thiele, L.: Multiobjective optimization using evolutionary algorithms - A comparative case study. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, H.-P. (eds.) PPSN 1998. LNCS, vol. 1498, pp. 292–301. Springer, Heidelberg (1998)
Zitzler, E., Thiele, L.: Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Transactions on Evolutionary Computation 3(4), 257–271 (1999)
Beume, N., Naujoks, B., Emmerich, M.: SMS-EMOA: Multiobjective selection based on dominated hypervolume. European Journal of Operational Research 181(3), 1653–1669 (2007)
Zelinka, I.: Analytic programming by Means of Soma Algorithm. In: Proceeding of the 8th International Conference on Soft Computing, Mendel 2002, Brno, Czech Republic, pp. 93–101 (2002)
Zelinka, I., Oplatkova, Z.: Analytic programming – Comparative Study. In: Second International Conference on Computational Intelligence, Robotics, and Autonomous Systems CIRAS 2003, Singapore (2003)
Chen, W., Kwok-Leung, T., Allen, J.K., Mistree, F.: Integration of the Response Surface Methodology with the compromise decision support problem in developing a general robust design procedure. In: Azarm, S., et al. (eds.) Advances in Design Automation, vol. 82-2, ASME, New York (1995)
Koza, J.R.: Genetic Programming: On the Programming of Computers by means of Natural Selection. MIT Press, USA (1992)
Ryan, C., Collins, J.J., Neill, M.O.: Grammatical evolution: Evolving programs for an arbitrary language. In: Banzhaf, W., Poli, R., Schoenauer, M., Fogarty, T.C. (eds.) EuroGP 1998. LNCS, vol. 1391, p. 83. Springer, Heidelberg (1998)
Koza, J.R.: Genetic Programming: On the Programming of Computers by means of Natural Selection. MIT Press, USA (1992)
Mistree, F., Hughes, O.F., Bras, B.A.: The Compromise Decision Support Problem and the Adaptive Linear Programming Algorithm. In: Structural Optimization: Status and Promise, pp. 247–286. AIAA, Washington, D.C (1993)
Holland, J.H.: Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology. In: Control and Artificial Intelligence. MIT Press, USA (1992)
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Ganesan, T., Elamvazuthi, I., Shaari, K.Z.K., Vasant, P. (2013). Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization. In: Zelinka, I., Chen, G., Rössler, O., Snasel, V., Abraham, A. (eds) Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems. Advances in Intelligent Systems and Computing, vol 210. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00542-3_15
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DOI: https://doi.org/10.1007/978-3-319-00542-3_15
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