Publications

• I. Sitaru, M. Raschip. Algorithm Selection for Combinatorial Packing Problems, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022, pp. 1-8 [DOI]
• N. Buliga, M. Raschip. Zorros at CheckThat! 2022: Ensemble Model for Identifying Relevant Claims in Tweets, CLEF 2022: Conference and Labs of the Evaluation Forum, September 5–8, 2022, Bologna, Italy [http]
• Victor Luncasu, Madalina Raschip. A Graph-Based Approach for the DNA Word Design Problem, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 18(6), pages 2747 - 2752, 2021 [DOI]
• V.-I. Lupoaie, I.-A. Chili, M. Raschip, M.E. Breaban. An Evolutionary Approach for Solving Multi-Objective WCSPs Using Mini-Bucket Elimination Heuristics, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 408-415, 2021 [DOI]
• C. Mariciuc, M. Raschip. The Application of Sequential Pattern Mining Techniques on MIMIC-IV, IDDM-2021: 4th International Conference on Informatics & Data-Driven Medicine, volume 3038, 2021 [http]
• C. Frasinaru, M. Raschip. Greedy Best-First Search for the Optimal-Size Sorting Network Problem, Procedia Computer Science, Volume 159, pages 447-454, 2019 [DOI]
• C. Frasinaru, M. Raschip. An Improved Subsumption Testing Algorithm for the Optimal-Size Sorting Network Problem. In 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2019), pages 292-303, 2019 [DOI | arXiv]
• V.-I. Lupoaie, I.-A. Chili, M.E. Breaban, M. Raschip. SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP. In IEEE Congress on Evolutionary Computation (CEC 2019), 2019 [DOI]
• M. Raschip, C. Croitoru, C. Frasinaru. New Evolutionary Approaches for SAT Solving. IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI 2018), pages 522-526, 2018 [DOI]
• I. Pistol, D. Trandabat, M. Raschip. Medi-Test: Generating Tests from Medical Reference Texts. Data 2018, 3(4), 70 [DOI]
• R. Necula, M. Breaban, M. Raschip. Tackling Dynamic Vehicle Routing Problem with Time Windows by means of ant colony system. In Proc. of the IEEE Congress on Evolutionary Computation (CEC 2017), pages 2480-2487, 2017 [DOI | arxiv] [Benchmark data]
• M. Raschip, C. Croitoru, K. Stoffel. Guiding Evolutionary Search with Association Rules for Solving Weighted CSPs. Genetic and Evolutionary Computation Conference (GECCO '15), ACM, pages 481-488, 2015 [DOI]
• M. Raschip, C. Croitoru, K. Stoffel. Using association rules to guide evolutionary search in solving constraint satisfaction. In Proc. of the IEEE Congress on Evolutionary Computation (CEC 2015), pages 744-750, 2015 [DOI]
• R. Necula, M. Breaban, M. Raschip. Tackling the Bi-criteria Facet of Multiple Traveling Salesman Problem with Ant Colony Systems. IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI 2015), pages 873-880, 2015 [DOI] [Benchmark data]
• R. Necula, M. Raschip, M. Breaban. Balancing the subtours for Multiple TSP approached with ACS: clustering-based approaches vs. MinMax formulation. EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI, EVOLVE 2015, Advances in Intelligent Systems and Computing (AISC), vol. 674, Springer, 2017 [DOI]
• R. Necula, M. Breaban, M. Raschip. Performance Evaluation of Ant Colony Systems for the Single-Depot Multiple Traveling Salesman Problem. Hybrid Artificial Intelligent Systems (HAIS 2015), volume 9121 in LNCS, Springer, pages 257-268, 2015 [DOI] [Benchmark data]
• Madalina Raschip, Cornelius Croitoru. A Genetic Algorithm hybridized with the Discrete Lagrangian Method for trap escaping. Learning and Intelligent Optimization (LION5), volume 6683 in LNCS, pages 351-363, Springer, 2011 [DOI]
• Madalina Raschip, Henri Luchian: Using messy genetic algorithms for solving the winner determination problem. Genetic and Evolutionary Computation Conference, Evolutionary computation techniques for constraint handling workshop, GECCO 2010, ACM, pages 1825-1832, ACM, 2010 [DOI]
• Madalina Raschip, Cornelius Croitoru: A New Primal-Dual Genetic Algorithm: Case Study for the Winner Determination Problem. Evolutionary Computation in Combinatorial Optimization (EvoCOP), volume 6022 in LNCS, pages 252-263, Springer, 2010 [DOI]
• Madalina Ionita, Mihaela Breaban, Cornelius Croitoru. Evolutionary Computation in Constraint Satisfaction, book chapter in New Achievements in Evolutionary Computation, edt. Peter Korosec, INTECH Vienna, ISBN 978-953-307-053-7, 2010 [http]
• Mihaela Breaban, Madalina Ionita, and Cornelius Croitoru. A New PSO Approach to Constraint Satisfaction. In Proc. of the IEEE Congress on Evolutionary Computation (CEC 2007), pages 1948-1954, IEEE, 2007 [DOI]
• Madalina Ionita, Cornelius Croitoru, and Mihaela Breaban. Incorporating inference into evolutionary algorithms for Max-CSP. In 3rd International Workshop on Hybrid Metaheuristics, volume 4030 in Lecture Notes in Computer Science, pages 139-149, Springer-Verlag, 2006 [DOI]
• Madalina Ionita, Mihaela Breaban, Cornelius Croitoru. A new scheme of using inference inside evolutionary computation techniques to solve CSPs. In Proc. of 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, Natural Computing and Applications Workshop, pages 323-329, IEEE press, 2006 [DOI]
• Madalina Ionita, Henri Luchian. Two Problem Independent Methods for Generating Initial Solutions. In Proc. of IEEE Congress on Evolutionary Computation (CEC 2005), pages 1442-1448, IEEE, 2005 [DOI]

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