Selected publications in Genetic Algorithms, Metaheuristic Algorithms, Neural Networks and Related Topics

  • Genetic Algorithms
  1. Angelova, M., O. Roeva, T. Pencheva, InterCriteria Analysis of a Cultivation Process Model Based on the Genetic Algorithm Population Size Influence, Notes on Intuitionistic Fuzzy Sets, Vol. 21, 2015, No. 4, 90-103.
  2. Angelova, M., O. Roeva, T. Pencheva, InterCriteria Analysis of Crossover and Mutation Rates Relations in Simple Genetic Algorithm, Annals of Computer Science and Information Systems, Vol. 5, 2015, 419-424.
  3. Pencheva, T., M. Angelova, V. Atanassova, O. Roeva, InterCriteria Analysis of Genetic Algorithm Parameters in Parameter Identification, Notes on Intuitionistic Fuzzy Sets, Vol. 21, 2015, No. 2, 99-110, ISSN 1310-4926.
  4. Roeva, O., S. Fidanova, P. Vassilev, P. Gepner, InterCriteria Analysis of a Model Parameters Identification using Genetic Algorithm, Annals of Computer Science and Information Systems, Vol. 5, 2015, 501-506.
  5. Roeva, O., P. Vassilev, InterCriteria Analysis of Generation Gap Influence on Genetic Algorithms Performance, In: Novel Developments in Uncertainty Representation and Processing, Part V, (K. T. Atanassov, O. Castillo, J. Kacprzyk, M. Krawczak, P. Melin, S. Sotirov, E. Sotirova, E. Szmidt, G. De Tré, S. Zadrożny, Eds. ), Vol. 401, Advances in Intelligent Systems and Computing, 2016, 301-313. (SJR = 0. 149)
  6. Roeva, O., S. Fidanova, M. Paprzycki, InterCriteria Analysis of ACO and GA Hybrid Algorithms, Studies in Computational Intelligence, Springer, Vol. 610, 2016, 107-126, doi: 10.1007/978-3-319-21133-6_7. (SJR = 0. 235).
  7. Roeva O., Vassilev P., Fidanova S., Paprzycki M.  InterCriteria Analysis of Genetic Algorithms Performance. Studies of Computational Intelligence, 655, Springer, 2016, ISBN:978-3-319-40131-7, DOI:10.1007/978-3-319-40132-4_14, 235-260. SJR = 0.246.
  8. Pencheva, T. M. Angelova, InterCriteria Analysis of Simple Genetic Algorithms Performance, Chapter in: Georgiev K., M. Todorov, I Georgiev (Eds.), Advanced Computing in Industrial Mathematics, Studies in Computational Intelligence, Vol. 681, 2017, 147-159, SJR = 0.246.

 

  • Metaheuristic Algorithms
  1. Mucherino, A., S. Fidanova , M. Ganzha,  Ant Colony Optimization with environment changes: an application to GPS surveying, Proceedings of the Federated Conference on Computer Science and Information Systems, ACSIS, 2015, Vol. 5, 495-500, DOI: 10.15439/2015F33.
  2. Fidanova, S., Roeva, O. InterCriteria Analysis of Ant Colony Optimization Application to GPS Surveying Problems. Issues in Intuitionistic Fuzzy Sets and Generalized Nets, 12, 2016, 20-38.
  3. Fidanova S., Roeva O. InterCriteria Analysis of Different Metaheuristics Applied to E. coli Cultivation Process. Numerical Methods for Scientific Computations and Advanced Applications, 2016, ISBN:978-619-7223-18-7, 21-25.
  4. Fidanova S., Roeva O.,  Paprzycki, M.,  Gepner, P. InterCriteria Analysis of ACO Start Strategies. Proceedings of the FedCSIS’2016, ISBN:978-83-60810-90-3, DOI:http://dx.doi.org/10.15439/2016F137, 547-550.
  5. Fidanova S., Roeva O., Mucherino A., Kapanova K. InterCriteria Analysis of Ant Algorithm with Environment Change for GPS Surveying Problem. Lecture Notes in Computer Science, 9883, Springer, 2016, ISBN:978-1-61804-327-6, DOI:10.1007/978-3-319-44748-3 26, 271-278. SJR:0.252.
  6. Fidanova, S., O. Roeva, M. Paprzycki, InterCriteria Analysis of Ant Colony Optimization Application to GPS Surveying Problems, Issues in Intuitionistic Fuzzy Sets and Generalized Nets, Vol. 12, 2015/2016, 20-38.
  7. Roeva, O. J. Perez, F. Valdez, O. Castillo, InterCriteria Analysis of Bat Algorithm with Parameter Adaptation Using Type-1 and Interval Type-2 Fuzzy Systems, Notes on Intuitionistic Fuzzy Sets, Vol. 22, 2016, No. 3, 91-105.
  8. Roeva, O., S. Fidanova, M. Paprzycki, InterCriteria Analysis of ACO and GA Hybrid Algorithms, Studies in Computational Intelligence, Springer, Vol. 610, 2016, 107-126, doi: 10.1007/978-3-319-21133-6_7. (SJR = 0. 235).
  9. Fidanova, S., O. Roeva, Comparison of Different Metaheuristic Algorithms based on InterCriteria Analysis, Journal of Computational and Applied Mathematics, Available online 7 August 2017, https://doi.org/10.1016/j.cam.2017.07.028 IF = 1.357.
  10. Fidanova, S., V. Atanassova, O. Roeva, Ant Colony Optimization Application to GPS Surveying Problems: InterCriteria Analysis, Uncertainty and Imprecision in Decision Making and Decision Support: Cross Fertilization, New Models and Applications, Advances in Intelligent Systems and Computing, Springer, Vol. 559, 251-264, 2017, ISBN 978-3-319-65544-4.
  11. Roeva, O., S. Fidanova, InterCriteria Analysis of Relations between Model Parameters Estimates and ACO Performance, Advanced Computing in Industrial Mathematics, Studies in Computational Intelligence, Vol. 681, 2017, 175-186. SJR = 0.246.
  12. Fidanova, S., Roeva, O., (2020) Multi-objective ACO Algorithm for WSN Layout: InterCriteria Analisys, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11958, LNCS, 501-509.
  13. Roeva O., Fidanova S. (2020) Different InterCriteria Analysis of Variants of ACO algorithm for Wireless Sensor Network Positioning. In: Fidanova S. (Eds.) Recent Advances in Computational Optimization. Studies in Computational Intelligence, Vol. 838, 83-103, Springer, Cham, (First Online: 22 June 2019) SJR = 0.246.
  14. Roeva O., Fidanova S., Ganzha M. (2021) InterCriteria Analysis of the Evaporation Parameter Influence on Ant Colony Optimization Algorithm: A Workforce Planning Problem. In: Fidanova S. (Eds.) Recent Advances in Computational Optimization. WCO 2019. Studies in Computational Intelligence, vol 920, 89-109. Springer, Cham, DOI: 10.1007/978-3-030-58884-7_5.
  15. Roeva O., Zoteva D. (2021) ICrA Over Ordered Pairs Applied to ABC Optimization Results. In: Fidanova S. (Eds.) Recent Advances in Computational Optimization. WCO 2019. Studies in Computational Intelligence, Vol 920, 135-148 Springer, Cham.  DOI: 10.1007/978-3-030-58884-7_7.
  16. Roeva, O., & Zoteva, D. (2024). Comparison of Chaotic Metaheuristic Algorithms Based on InterCriteria Analysis, Int J Bioautomation, Vol. 28(4) [in press]
  17. Roeva, O., & Zoteva, D. (2024). Model Identification of E. coli Cultivation Process Applying Hybrid Crow Search Algorithm. Fermentation, 10, Article No. 12. DOI: https://doi.org/10.3390/fermentation10010012

 

  • Neural Networks
  1. Sotirov, S., Opportunities for application of the intercriteria analysis method to neural network  preprocessing procedures, Notes on Intuitionistic Fuzzy Sets, Vol. 21, 2015, No. 4, 143-152, ISSN 1310-4926.
  2. Sotirov, S., V. Atanassova, E. Sotirova, V. Bureva, D. Mavrov, Application of the Intuitionistic Fuzzy InterCriteria Analysis Method to a Neural Network Preprocessing Procedure, 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), 30.06-03.07.2015, Gijon, Spain, pp. 1559–1564, doi:10.2991/ifsa-eusflat-15.2015.222.
  3. Sotirov, S., E. Sotirova, P.  Melin, O. Castilo, K. Atanassov. (2016). Modular Neural Network Preprocessing Procedure with Intuitionistic Fuzzy InterCriteria Analysis Method, In:- Flexible Query Answering Systems, Vol. 400, Advances in Intelligent Systems and Computing, 2015, Springer International Publishing, 175-186, ISBN:978-3-319-26153-9, ISSN:2194-5357, DOI:10.1007/978-3-319-26154-6_14 (SJR = 0. 149).
  4. Sotirov, S., V. Atanassova, E. Sotirova, L. Doukovska, V. Bureva, D. Mavrov, J. Tomov, Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with triples to a Neural Network Preprocessing Procedure, Computational Intelligence and Neuroscience, Hindawi, 2017, Article ID 2157852, 2017, 9 pages IF = 1.215. doi:10.1155/2017/2157852.
  5. Sotirov, S., Petrova, Y., Bozov, H., & Sotirova, E. (2022). A Hybrid Algorithm for Multilayer Perceptron Design with Intuitionistic Fuzzy Logic Using Malignant Melanoma Disease Data. In: Kahraman, C., Tolga, A.C., Cevik Onar, S., Cebi, S., Oztaysi, B., Sari, I.U. (eds) Intelligent and Fuzzy Systems. INFUS 2022. Lecture Notes in Networks and Systems, vol 504, pp. 665–672. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-09173-5_77
  6. Atanassov, K., Sotirov, S., & Pencheva, T. (2023). Intuitionistic Fuzzy Deep Neural Network. Mathematics, 11, Article No. 716. DOI: https://doi.org/10.3390/math11030716

 

  • Related topics
  1. Staneva, L., L. Erbakanov, I. Vardeva, E. Vardeva-Todorova. Intuitionistic Fuzzy Estimations of Noise Filtering in Speech. Annual of “Assen Zlatarov” University, Burgas, Vol. XLV (1), 2016, 29-31.