eprintid: 3987
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/39/87
datestamp: 2023-11-09 15:52:16
lastmod: 2023-11-09 15:52:16
status_changed: 2023-11-09 15:48:04
type: article
metadata_visibility: show
creators_name: Ganesan, T.
creators_name: Elamvazuthi, I.
creators_name: Shaari, K.Z.K.
creators_name: Vasant, P.
title: Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization
ispublished: pub
keywords: Solar energy, analytical programming (AP); Hypervolume indicators; Irrigation systems; Multi objective; Photovoltaic, Multiobjective optimization
note: cited By 4
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. © Springer International Publishing Switzerland 2013.
date: 2013
publisher: Springer Verlag
official_url: 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_number: 10.1007/978-3-319-00542-3₁₅
full_text_status: none
publication: Advances in Intelligent Systems and Computing
volume: 210
pagerange: 147-154
refereed: TRUE
isbn: 9783319005416
issn: 21945357
citation:   Ganesan, T. and Elamvazuthi, I. and Shaari, K.Z.K. and Vasant, P.  (2013) Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization.  Advances in Intelligent Systems and Computing, 210.  pp. 147-154.  ISSN 21945357