This document discusses visualizing the Pareto front in multi-objective optimization problems. It defines key concepts like the Pareto set, Pareto front, and non-dominated solutions. An example is provided of optimizing travel time and ticket price for airplane trips. Common techniques for visualizing the Pareto front include using a genetic algorithm like NSGA-II and dimensionality reduction with PCA. The goal of visualization is to translate multiple objective functions into an intuitive visual representation to identify Pareto optimal solutions. Future work could involve testing on additional problems with more objective functions.