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Ultrafiltration followed by ozonation were adopted as non-thermal methods for sugarcane juice (SJ) treatment. The applicability of multi-objective genetic algorithm (MOGA) as an optimization tool for ozone treatment of ultrafiltered SJ has been explored. Regression models for various response parameters were developed to construct the objective functions for optimization. The minimum browning index and polyphenoloxidase activity of 66.17 and 6.24 U/ml, respectively were predicted by MOGA. Confirmatory experiment performed with optimal process variables of gas flow rate: 4.58 l/min, ozone concentration: 3.12 ppm and exposure time: 8.2 min verified the accuracy of GA-based multi-criteria algorithm. The hurdle technology was efficient in minimizing the spoilage rate of SJ to a greater extent as proven by post-treatment study. It caused 38.52% reduction in phenolic degradation and 25.43% less increase in …