Palavra-chave: MULTIOBJECTIVE OPTIMIZATION

MACHINE LEARNING ARTIFICIAL IMMUNE SYSTEMS CONTINUOUS OPTIMIZATION DECISION MAKING UNDER UNCERTAINTY MULTI-TASK LEARNING ALGORITHMS DATA CLUSTERING TAKAGI-SUGENO MODEL COMBINATORIAL OPTIMIZATION NEURAL NETWORKS ANTICIPATORY LEARNING MULTICRITERIA DECISION MAKING LOGISTIC REGRESSION SEMANTIC GENETIC OPERATORS RECOMMENDER SYSTEM ONCE-FOR-ALL NEURAL ARCHITECTURE SEARCH MULTILABEL CLASSIFICATION DYNAMIC OPTIMIZATION SCHEDULING ESTIMATION OF DISTRIBUTION ALGORITHMS EVOLUTIONARY COMPUTATION SURROGATE FUNCTIONS IMMUNE NETWORK THEORY PHYLOGENETIC TREE RECONSTRUCTION BAYESIAN LEARNING NEURAL ARCHITECTURE SEARCH INVENTORY ROUTING PROBLEM BICLUSTERING PORTFOLIO SELECTION PROBABILISTIC LEARNING OPERATIONAL RESEARCH ANT COLONY OPTIMIZATION BILEVEL OPTIMIZATION CROP ROTATIION GENETIC FUZZY SYSTEMS MANY-OBJECTIVE OPTIMIZATION DISCRETE OPTIMIZATION FOOD DIET CAPACITOR PLACEMENT GAUSSIAN PROCESSES MULTIMODAL OPTIMIZATION GENETIC PROGRAMMING OMNI OPTIMIZATION MULTI-LABEL CLASSIFICATION FEATURE SELECTION