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. 2023 Jan 20;13(2):183. doi: 10.3390/jpm13020183

Figure 3.

Figure 3

Architecture of the multi-objective Genetic Algorithm. Shown are main steps of the proposed GA. Initial population of chromosomes is randomly created and inputted to the GA optimizer. After Pareto-optimal solutions are found, the best solution is selected using a predefined criterion.