Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization

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@InProceedings{Ganesan:2013:Nostradamus,

• author = "T. Ganesan and I. Elamvazuthi and Ku Zilati Ku Shaari and P. Vasant",
• title = "Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization",
• booktitle = "Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems",
• year = "2013",
• editor = "Ivan Zelinka and Guanrong Chen and Otto E. R{\"o}ssler and Vaclav Snasel and Ajith Abraham",
• volume = "210",
• series = "Advances in Intelligent Systems and Computing",
• pages = "147--154",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Analytical Programming",
• isbn13 = "978-3-319-00542-3",
• DOI = "doi:10.1007/978-3-319-00542-3_15",
• 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 multi-objective (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.",

}

Genetic Programming entries for Timothy Ganesan I Elamvazuthi Ku Zilati Ku Shaari Pandian Vasant

Citations