This collection of academic excerpts explores advanced techniques in portfolio optimization. It begins by discussing robust optimization to manage uncertainty and introduces gain/loss optimization for non-normal return distributions. The text also presents the Windham Portfolio Advisor with its multigoal optimization and risk regime analysis. Further chapters examine modeling equity portfolios with heavy-tailed distributions and introduce expectile value at risk for downside risk management. Finally, the sources cover practical aspects like heuristic optimization methods and the impact of estimation error on portfolio decisions, showcasing a range of sophisticated approaches for constructing and managing investment portfolios.