Thuật ngữ AI
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Vector objective function
Mathematical function that maps a decision space to a multidimensional objective space, representing multiple objectives to be optimized simultaneously.
Non-dominated solutions
Set of Pareto-optimal solutions where no other viable solution is better on all objectives simultaneously.
Decision space
Set of all possible decision variables or controllable parameters that define candidate solutions in an optimization problem.
Objective space
Multidimensional space where each dimension represents an objective, and solutions are evaluated and compared based on their objective values.
Multi-objective evolutionary algorithms
Metaheuristics inspired by natural evolution, using selection, crossover, and mutation to explore the Pareto front in complex problems.
Solution diversity
Measure of the spatial distribution of solutions on the Pareto front, essential for providing a comprehensive range of trade-offs to decision makers.
Reference point-based optimization
Interactive approach where the decision maker specifies desired reference points in the objective space to guide the search toward preferred solutions.
Pareto-optimal solution set
Complete collection of all efficient solutions that cannot be simultaneously improved on all objectives, forming the Pareto front.