Triple Objective Optimization of Cytotoxic Potency of Human Carcinoma Cell Lines of Ulva Fasciata Delile (A Marine Macro Alga) Using Non-Sorting Genetic Algorithm

Abstract

Objective: The prime objective of our work was to develop an acceptable model for optimizing the cytotoxic potency of human carcinoma cell lines of marine microalga which gives true indications when compared to experimental results. Methods:The experimental result taken from Das et al., 2014 [12] for cytotoxic potency against human colon cancer (HT-29), human hepatocyte cancer (Hep-G2), and human breast cancer (MCF-7) cell lines was used to carry out a multi-objective (triple objective) optimization. Thirty nondominating solutions were considered for analyses of absorbance (y1), % cell survival (y2) and% cell inhibition (y3) data. The multi-objective (triple objective) optimization study by using experimental data of Das et al., 2014. Results:The solutions obtained by non-dominated sorting genetic algorithm (NSGA) have been compared with data obtained experimentally, and the results were found to be significant. This method has distinct advantages over other methods which relied heavily on statistical-regressionmodels, single objective optimization methods in the sense that it does triple-objective optimization. The results were significant when compared with experimental data corroborating acceptability of the proposed model. Conclusion:The solutions obtained by NSGA method, on comparison with experimental data, showed the applicability and suitability of the proposed model.