farmland fertility optimization algorithm

The application of optimization tools and techniques to operate the reservoir on a Multi-objective basis under the circumstances of climate change is unavoidable. The present study utilizes the Multi-Objective Farmland Fertility Optimization (MOFFA) algorithm to derive optimum rules on the operation of the Golestan Dam in Golestan province under circumstances of climate change. The two targets of reducing vulnerability as well as maximizing reliability under baseline conditions (from April 2006 to October 2018) and climate change conditions (from April 2021 to October 2033) have been formulated for such guidelines. Results revealed that under climate change circumstances, the river flow decreased by 0.17 percent of the baseline period, although the temperature was increased by 20% as well as the rainfall decreased by 21.1%. However, the extent of vulnerability variations in baseline and climate change was 16-45% and 10-43%, respectively. The range of reliability variations in baseline and climate change circumstances was 47-90% and 27-93%. The vulnerability has also been measured at 29 percent and 27 percent for baseline and climate change, respectively, with 75 percent reliability. The increase in release rates for climate change in comparison with baseline circumstances and higher modification of release rates from the reservoir to demand and stronger dam efficiency in changing circumstances showed the comparison of releases and the water shortage requirements for each of Pareto points.