Multi-Objective Optimization

Multi-objective optimization is a process used to find the best solutions when several goals need to be achieved simultaneously, but these goals often conflict. For example, designing a car that is both fast and fuel-efficient involves balancing performance and economy. Instead of finding a single perfect solution, multi-objective optimization identifies a set of optimal trade-offs called "Pareto optimal solutions," where improving one goal would worsen another. This approach helps decision-makers choose the most suitable compromise based on priorities, making complex problems more manageable by providing a range of optimal options.