Evolutionary detection of aumann equilibrium. - D. Dumitrescu; Rodica Ioana Lung; Noémi Gaskó; Tudor Dan Mihoc (GECCO, 2010)

Job Scheduling and Bin Packing from a Game Theoretical Perspective: An Evolutionary Approach. - D. Dumitrescu; Rodica Ioana Lung; Noémi Gaskó; Réka Nagy (SYNASC, 2010)

Evolutionary Detection of Berge and Nash Equilibria. - Noémi Gaskó; D. Dumitrescu; Rodica Ioana Lung (NICSO, 2011)

Detecting Strong Berge Pareto equilibrium in a non-cooperative game using an evolutionary approach. - D. Dumitrescu; Rodica Ioana Lung; Noémi Gaskó (SACI, 2011)

Cognitive radio simultaneous spectrum access/one-shot game modelling. - Ligia Chira Cremene; D. Dumitrescu; Réka Nagy; Noémi Gaskó (CSNDSP, 2012)

Evolving mixed nash equilibria for bimatrix games. - David Iclanzan; Noémi Gaskó; D. Dumitrescu (GECCO (Companion), 2012)

Between Selfishness and Altruism: Fuzzy Nash-Berge-Zhukovskii Equilibrium. - Réka Nagy; Noémi Gaskó; Rodica Ioana Lung; D. Dumitrescu (PPSN (1), 2012)

Differential evolution for discrete-time large dynamic games. - Mihai Suciu 001; Rodica Ioana Lung; Noémi Gaskó; D. Dumitrescu (IEEE Congress on Evolutionary Computation, 2013)

Multiobjective Evolution of Mixed Nash Equilibria. - David Iclanzan; Noémi Gaskó; Réka Nagy; D. Dumitrescu (LION, 2013)

A Game Theoretical Perspective on Small-Cell Open Capacity Sharing in Cognitive Radio Environments. - Ligia Chira Cremene; Noémi Gaskó; Marcel Cremene; Dumitru Dumitrescu (NEW2AN, 2013)

Nash Equilibria Detection for Discrete-Time Generalized Cournot Dynamic Oligopolies. - Mihai Suciu 001; Noémi Gaskó; Rodica Ioana Lung; D. Dumitrescu (NICSO, 2013)

Computing Strong Nash Equilibria for Multiplayer Games. - Noémi Gaskó; Rodica Ioana Lung; D. Dumitrescu (CoRR, 2014)

Characterization and Detection of epsilon-Berge Zhukovskii Equilibria. - Noémi Gaskó; Mihai Suciu 001; Rodica Ioana Lung; D. Dumitrescu (CoRR, 2014)

Mixing Network Extremal Optimization for Community Structure Detection. - Mihai Suciu 001; Rodica Ioana Lung; Noémi Gaskó (EvoCOP, 2015)

Evolving Game Strategies in a Dynamic Cournot Oligopoly Setting. - Mihai Alexandru Suciu; Rodica Ioana Lung; Noémi Gaskó; Tudor Dan Mihoc; Dan Dumitrescu (EVOLVE, 2015)

Environment-Model Based Testing with Differential Evolution in an Industrial Setting. - Annamária Szenkovits; Noémi Gaskó; Erwan Jahier (EvoApplications (1), 2016)

Approximation of (k, t)-robust Equilibria. - Tudor Dan Mihoc; Rodica Ioana Lung; Noémi Gaskó; Mihai Suciu 001 (GECCO, 2016)

Game theory, Extremal optimization, and Community Structure Detection in Complex Networks. - Mihai Suciu 001; Rodica Ioana Lung; Noémi Gaskó (GECCO, 2016)

Community Detection in Bipartite Networks Using a Noisy Extremal Optimization Algorithm. - Noémi Gaskó; Rodica Ioana Lung; Mihai Alexandru Suciu (ISDA, 2016)

Community Structure Detection for the Functional Connectivity Networks of the Brain. - Rodica Ioana Lung; Mihai Suciu 001; Regina Meszlényi; Krisztián Búza; Noémi Gaskó (PPSN, 2016)

Optimizing Test Input Generation for Reactive Systems with an Adaptive Differential Evolution. - Annamária Szenkovits; Noémi Gaskó; Hunor Jakab (SYNASC, 2016)

A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks. - Noémi Gaskó; Rodica Ioana Lung; Mihai Alexandru Suciu (Scientometrics, 2016)

Community structure detection in multipartite networks: a new fitness measure. - Noémi Gaskó; Florentin Bota; Mihai Suciu 001; Rodica Ioana Lung (GECCO, 2017)

Dynamic Generalized Berge-Zhukovskii Equilibrium. - Noémi Gaskó; Mihai Suciu 001; Rodica Ioana Lung (MENDEL, 2017)

Exploring the Map Equation: Community Structure Detection in Unweighted, Undirected Networks. - Rodica Ioana Lung; Mihai-Alexandru Suciu; Noémi Gaskó (MENDEL, 2017)

Computation of Berge-Zhukovskii Equilibrium in Discrete Time Dynamic Games. - Noémi Gaskó; Mihai Alexandru Suciu; Rodica Ioana Lung (SOCO-CISIS-ICEUTE, 2017)

About Nash Equilibrium, Modularity Optimization, and Network Community Structure Detection. - Rodica Ioana Lung; Mihai Alexandru Suciu; Noémi Gaskó (SOCO-CISIS-ICEUTE, 2017)

Noisy extremal optimization. - Rodica Ioana Lung; Mihai Suciu 001; Noémi Gaskó (Soft Comput., 2017)

Scarce-resource capacity sharing in cognitive radio environments: a new game theoretical model. - Ligia Cremene; Noémi Gaskó; Marcel Cremene; Mihai Suciu 001; Aurel Vlaicu; D. Dumitrescu (Telecommun. Syst., 2017)

A hypergraph model for representing scientific output. - Rodica Ioana Lung; Noémi Gaskó; Mihai Alexandru Suciu (Scientometrics, 2018)

Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data. - Annamária Szenkovits; Regina Meszlényi; Krisztián Búza; Noémi Gaskó; Rodica Ioana Lung; Mihai Suciu 001 (Advances in Feature Selection for Data and Pattern Recognition, 2018)

Influence Maximization and Extremal Optimization. - Tamás Képes; Noémi Gaskó; Rodica Ioana Lung; Mihai-Alexandru Suciu (HAIS, 2019)

Shapley Value and Extremal Optimization for the Network Influence Maximization Problem. - Noémi Gaskó; Mihai Alexandru Suciu; Tamás Képes; Rodica Ioana Lung (SYNASC, 2019)

Pareto-based evolutionary multiobjective approaches and the generalized Nash equilibrium problem. - Rodica Ioana Lung; Noémi Gaskó; Mihai Alexandru Suciu (J. Heuristics, 2020)

A Game Theoretical Analysis of Academic Writing Co-authorship Networks. - Noémi Gaskó; Florentin Bota; Mihai Alexandru Suciu; Rodica Ioana Lung (J. Sci. Res., 2020)

A Simple Genetic Algorithm for the Critical Node Detection Problem. - Mihai-Alexandru Suciu; Noémi Gaskó; Tamás Képes; Rodica Ioana Lung (HAIS, 2021)

An Evolutionary Approach for Critical Node Detection in Hypergraphs. A Case Study of an Inflation Economic Network. - Noémi Gaskó; Mihai Suciu 001; Rodica Ioana Lung; Tamás Képes (ISDA, 2021)

Critical Node Detection for Maximization of Connected Components: An Extremal Optimization Approach. - Noémi Gaskó; Tamás Képes; Mihai Suciu 001; Rodica Ioana Lung (SOCO, 2021)

Approaching the bi-objective critical node detection problem with a smart initialization-based evolutionary algorithm. - Eliézer Béczi; Noémi Gaskó (PeerJ Comput. Sci., 2021)

A New Type of Anomaly Detection Problem in Dynamic Graphs: An Ant Colony Optimization Approach. - Zoltán Tasnádi; Noémi Gaskó (BIOMA, 2022)

The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach. - Tamás Képes; Noémi Gaskó; Géza Vekov (PPSN (1), 2022)

An Extremal Optimization Approach to the Pairwise Connectivity Critical Node Detection Problem. - Noémi Gaskó; Tamás Képes; Mihai Suciu 001; Rodica Ioana Lung (SOCO, 2022)

An Ant Colony Optimisation Approach to the Densest k-Subgraph Problem. - Zoltán Tasnádi; Noémi Gaskó (SYNASC, 2022)

Solving Continuous Optimization Problems with a New Hyperheuristic Framework. - Nándor Bándi; Noémi Gaskó (LOD (1), 2023)

Heaviest and Densest Subgraph Computation for Binary Classification. A Case Study. - Zoltán Tasnádi; Noémi Gaskó (LOD (2), 2023)

Identification of influential nodes with Shapley Influence Maximization Extremal Optimization algorithm. - Noémi Gaskó; Tamás Képes; Rodica Ioana Lung; Mihai Suciu 001 (Appl. Soft Comput., 2023)

Nested Markov chain hyper-heuristic (NMHH): a hybrid hyper-heuristic framework for single-objective continuous problems. - Nándor Bándi; Noémi Gaskó (PeerJ Comput. Sci., 2024)

Improved Nested Markov Chain Hyper-heuristic Framework. A Clustering Application. - Nándor Bándi; Noémi Gaskó (AIAI (1), 2025)

A New Genetic Algorithm with Problem-Specific Crossover and Mutation Operators for Multivariate Microaggregation Problem. - Márton-Alpár Szász; Noémi Gaskó; Annamária Szenkovits (AIAI (1), 2025)

Ant Colony Optimization Algorithm for Safest Path Computation in Presence of Correlated Failures in Backbone Networks. - Zoltán Tasnádi; Balázs Vass; Noémi Gaskó (GECCO, 2025)