Multi-objective optimization is a type of optimization problem that involves simultaneously optimizing two or more conflicting objectives. Unlike single-objective optimization, where the goal is to find the best solution that maximizes or minimizes a single criterion, multi-objective optimization involves trade-offs between different objectives, as improving one objective may worsen another.
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