Mahdi Sarai Tabrizi - Assistant Professor, Department of Water Engineering and Sciences, Science and Research Branch, Islamic AzadUniversity, Tehran, Iran
Shiva Mohammadian Khorasani

The goal of this research is simultaneous optimization of water productivity (WP) and cropproduction under deficit irrigation management conditions. The data used in this study is the result of anexperimental agricultural design conducted in the form of randomized complete blocks design in threereplications and seven irrigation treatments in different growth stages in ۲۰۱۰ and ۲۰۱۱ in Karaj. Geneticalgorithm was applied as a multi-objective (MOGA) and under two scenarios of the priority of objectivefunctions. Also in order to investigate the application of the simulated annealing algorithm (SA) incombined optimizing of two objective functions of soybean WP and plant production using weightsummation method, it converts to a single objective one. The results show under the first scenarioconditions, the optimum crop production and optimum WP are ۳۸۲۷ and ۳۹۵۳ kilograms per hectare and۰.۵۳ and ۰.۵۸ kg.ha-۱ respectively. Also in combined optimization under the second scenario conditions, theamounts of optimum crop production and WP are ۳۸۳۸.۰۵۳ and ۳۹۰۲.۷۲ kilograms per hectare and ۱.۱۲۴and ۰.۷۵ kilograms per cubic meter per hectare in ۲۰۱۰ and ۲۰۱۱ respectively. Comparison of the obtainedresults of MOGA and SA indicated that MOGA has a better capability in simultaneous optimization of thetwo objective functions.

Crop Production, MOGA, Simulated Annealing, Soybean, T-test