{"id":2,"date":"2019-04-09T13:33:15","date_gmt":"2019-04-09T13:33:15","guid":{"rendered":"http:\/\/www.cs.ubbcluj.ro\/~meco\/?page_id=2"},"modified":"2026-02-01T13:35:23","modified_gmt":"2026-02-01T13:35:23","slug":"metaeuristici-pentru-sisteme-complexe","status":"publish","type":"page","link":"https:\/\/www.cs.ubbcluj.ro\/~meco\/","title":{"rendered":"Metaheuristics for Complex Systems"},"content":{"rendered":"\n

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.<\/code><\/p>\n\n\n\n

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188<\/h1>\n\n\n\n

Peer-reviewed publications to date<\/p>\n<\/div>\n\n\n\n

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5<\/h1>\n\n\n\n

Active research projects (including collaborations)<\/p>\n<\/div>\n\n\n\n

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36<\/h1>\n\n\n\n

Researchers, PhD students, and collaborators on the team<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

Research interests<\/h2>\n\n\n

breast cancer (13)<\/span><\/a>\ncomplex networks (19)<\/span><\/a>\ncomputer-assisted diagnosis (12)<\/span><\/a>\ncritical node detection (5)<\/span><\/a>\ndata mining (48)<\/span><\/a>\neducation (5)<\/span><\/a>\nevolutionary computing (48)<\/span><\/a>\nfeatures (16)<\/span><\/a>\ngame theory (7)<\/span><\/a>\ngui element detection (5)<\/span><\/a>\nimage segmentation (6)<\/span><\/a>\nlarge language models (8)<\/span><\/a>\nmachine learning (123)<\/span><\/a>\nmagnetic resonance imaging (9)<\/span><\/a>\nmalicious urls (5)<\/span><\/a>\nmammographic image (11)<\/span><\/a>\nmetrics (9)<\/span><\/a>\nmobile (9)<\/span><\/a>\nnash equilibrium (9)<\/span><\/a>\nnatural language processing (7)<\/span><\/a>\nobject detection (6)<\/span><\/a>\noptimization (10)<\/span><\/a>\nrailway (4)<\/span><\/a>\nreinforcement learning (4)<\/span><\/a>\nsentiment analysis (6)<\/span><\/a>\nsoftware architectures (10)<\/span><\/a>\nsoftware engineering (5)<\/span><\/a>\nsynthetic data generation (6)<\/span><\/a>\ntexture analysis (4)<\/span><\/a>\nweb (5)<\/span><\/a><\/p>","protected":false},"excerpt":{"rendered":"

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…<\/p>\n","protected":false},"author":1,"featured_media":1588,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/pages\/2"}],"collection":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":48,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":1395,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/pages\/2\/revisions\/1395"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/media\/1588"}],"wp:attachment":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}