The Metaheuristics for Complex Systems (MECO) research group is a multidisciplinary group that brings together expertise in metaheuristic-based computation, computational intelligence, machine learning and complex systems. The group's research interests focus on modeling, analyzing and developing metaheuristic-based computational techniques from theoretical studies and empirical investigations to real-world applications. MECO group members have extensive experience in the development of various computational intelligence models, hybrid algorithms and machine learning techniques and their application in the context of complex systems and problems.

The MECO Story in Numbers

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// The Metaheuristics for Complex Systems (MECO) research group is a multidisciplinary group that// brings together expertise in metaheuristic-based computation, computational intelligence,// machine learning and complex systems. The group's research interests focus on modeling,// analyzing and developing metaheuristic-based computational techniques from theoretical studies// and empirical investigations to real-world applications. MECO group members have extensive// experience in the development of various computational intelligence models, hybrid algorithms// and machine learning techniques and their application in the context of complex systems and// problems.

Research interests

calcul inspirat de natura (23) complex-networks (1) complex network (1) data mining (16) invatare automata (47) retele complexe (8) software engineering (4)