TY  - JOUR
Y1  - 2013///
VL  - 210
JF  - Advances in Intelligent Systems and Computing
A1  - Ganesan, T.
A1  - Elamvazuthi, I.
A1  - Shaari, K.Z.K.
A1  - Vasant, P.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880385857&doi=10.1007%2f978-3-319-00542-3_15&partnerID=40&md5=2886f84d231a7073c35b3fc85f5c3be6
ID  - scholars3987
KW  - Solar energy
KW  -  analytical programming (AP); Hypervolume indicators; Irrigation systems; Multi objective; Photovoltaic
KW  -  Multiobjective optimization
N2  - 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. © Springer International Publishing Switzerland 2013.
PB  - Springer Verlag
SN  - 21945357
EP  - 154
AV  - none
TI  - Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization
SP  - 147
N1  - cited By 4
ER  -