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An Ontology of Preference-Based Multiobjective Metaheuristics
User preference integration is of great importance in multi-objective optimization, in particular in many objective optimization.
Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm
The design of the algorithm proposed in this paper is inspired by indicator-based evolutionary algorithms, where first a performance indicator for a solution set is established and then a selection operator is designed that complies with the performance indicator.
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