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The comparison of efficiency of the population formation approachesin the dynamic multi-objective optimization problems
Sopov E.A., Vakhnin A.V., Rurich M.A.
MULTI-OBJECTIVE BASED FEATURE SELECTION AND NEURAL NETWORKS ENSEMBLE METHOD FOR SOLVING EMOTION RECOGNITION PROBLEM
Ivanov I.A.
PROCESSING OF EXPERT REPORTS RESULTS IN REGISTEROF SCIENTIFICAND TECHNOLOGICALDEVELOPMENTS
Gekhman A.V., Yakunin Y.Y., Danichev A.A., Volodin A.A., Gekhman A.V., Yakunin Y.Y., Danichev A.A., Volodin A.A.
COMPREHENSIVE METHOD FOR MULTIMODAL DATA ANALYSIS BASED ON OPTIMIZATION APPROACH
Ivanov I.A., Brester C.Y., Sopov E.A.
OPTIMISING SYNTHESIS OF A LOW-SPEED BUTT ALTERNATOR CHARACTERISTICS
Morozov D.I., Karpenko E.V., Kolbasina N.A.
ABOUT THE EFFECTIVENESS OF EVOLUTIONARY ALGORITHMS FOR MULTICRITERIAL DESIGN OF ARTIFICIAL NEURAL NETWORKS
Koromyslova A.A., Semenkina M.E.
SOLVING COMPLEX MULTIOBJECTIVE OPTIMIZATION PROBLEMS WITH THE MODIFIED HEURISTIC STOCHASTIC ALGORITHMS OF DIRECT SEARCH
Zvonkov V.B., Semenkin E.S., Zvonkov V.B., Semenkin E.S.
MULTI-OBJECTIVE APPROACH FOR DESIGNING ENSEMBLE OF NEURAL NETWORK CLASSIFIERS WITH FEATURE SELECTION FOR EMOTION RECOGNITION PROBLEM
Ivanov I.A., Sopov E.A., Panfilov I.A.
DEVELOPMENT OF ADAPTIVE GENETIC ALGORITHMS FOR NEURAL NETWORK MODELS MULTICRITERIA DESIGN
Brester C.Y., Semenkin E.S.
Self-configuring genetic algorithm for multi-objective choice problem decision
Ivanov I.A., Sopov E.A.
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