Abstract
ABSTRACTOne of the meta‐heuristic algorithms for multi‐objective optimization under conditions where there are more than one objective in research is the multi‐objective genetic algorithm (MOGA). The goal of this research is combined optimization of water productivity (WP) and crop yield under deficit irrigation management conditions. The data used in this study are the result of an experimental agricultural design conducted in the form of a randomized complete blocks design in three replications and seven water stress treatments at different growth stages in 2010 in Karaj. The results of this research show that in combined optimization under the first scenario conditions, the amounts of soybean optimum crop yield and optimum WP are 3830 kg ha−1 and 0.529 kg m−3 respectively. Also in combined optimization under the second scenario conditions, the amount of optimum crop yield and WP are 3840 kg ha−1 and 1.12 kg m−3 respectively. Copyright © 2013 John Wiley & Sons, Ltd.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
