: Uses the NSGA-II (Nondominated Sorting Genetic Algorithm II) to find a set of tradeoff solutions (the Pareto-optimal frontier).

The research focuses on for electricity distribution companies. These companies must decide which reinforcement projects to invest in given limited budgets and multiple, often conflicting, objectives.

: Helps decision-makers choose the best specific plan from the set of optimal solutions based on various criteria and constraints. Key Concepts

: An integrated multicriteria decision-making approach for distribution network reinforcement project portfolio. Journal : International Journal of Intelligent Systems . Published : June 03, 2021. Core Problem & Solution

: To optimize the global value of a project portfolio by selecting and scheduling projects across a multistage planning horizon.

: The study utilizes these computational techniques to search vast, multimodal spaces where traditional math might fail to find a global optimum.