The weighted sum method and evolutionary algorithms both claim to solve multi-objective problems. They're doing fundamentally different things — and the difference matters for what you get out.
When two objectives conflict, there is no single best solution — only trade-offs. The Pareto front is the set of solutions where you can't improve one objective without making another worse.
Before you can find a Pareto front, you need a way to compare solutions with multiple objectives. Domination is that comparison — and it's simpler than it sounds.
