Mean-Variance Optimization is a mathematical framework used to construct investment portfolios that maximize expected return for a given level of risk, or equivalently minimize risk for a given level of expected return. It is the foundation of Modern Portfolio Theory and involves balancing the trade-off between risk and return by considering the variance and expected return of portfolio assets.