Over time a number of papers have appeared that all are related in some way to the area of, broadly understood, optimization (nature inspired approaches, in particular). Hence, I have decided to put it all into this section. All papers listed here are "Technical Report" quality and copyrighted originals should be used for all purposes over and above plain curiosity.

+ S. Fidanova, Gabriel Luque, Olympia Roeva, M. Paprzycki, Pawel Gepner, Hybrid Ant Colony Optimization Algorithm for Workforce Planning, in: M. Ganzha et.al., Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, ACSIS, Vol. 15, 2018, 233-236, PDF, DOI: 10.15439/2018F47

+ S. Fidanova, Gabriel Luque, Olympia Roeva, M. Paprzycki, Pawel Gepner, Ant colony optimization algorithm for workforce planning, in: M. Ganzha et.al., Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, ACSIS, Vol. 11, 2017, 415-419, PDF, DOI: 10.15439/2017F63

+ S. Fidanova, O. Roeva, P. Gepner, M. Paprzycki, InterCriteria Analysis of ACO start startegies, in: M. Ganzha et.al., Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, ACSIS, Vol. 8, 2016, 547-550, PDF, DOI

+ S. Fidanova, O. Roeva, P. Vassilev, M. Paprzycki, InterCriteria Analysis of Genetic Algorithms Performance, in: Recent Advances in Computational Optimization, Studies in Computational Intelligence, Vol. 655, Springer, 2016, 235-260

+ J. Czerniak, W. Dobrosielski, L. Apiecionek, D. Ewald, M. Paprzycki, Practical Application of OFN Arithmetics in a Crisis Control Center Monitoring, in: Recent Advances in Computational Optimization, Studies in Computational Intelligence, Vol. 610, Springer, 2016, 51-64

+ S. Fidanova, O. Roeva, M. Paprzycki, InterCriteria Analysis of ACO and GA Hybrid Algorithms, in: Recent Advances in Computational Optimization, Studies in Computational Intelligence, Vol. 610, Springer, 2016, 107-126, PDF

+ S. Fidanova, O. Roeva, M. Paprzycki, Population Size Influence on the Genetic and Ant Algorithms Performance in Case of Cultivation Process Modeling, in: Recent Advances in Computational Optimization, Studies in Computational Intelligence, Vol. 580, Springer, 2015, 106-120

+ J. Czerniak, G. Smigielski, D. Ewald, W. Dobrosielski M. Paprzycki, New proposed implementation of ABC method to optimization of Water Capsule Flightg, in: M. Ganzha et.al., Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, ACSIS, Vol. 5, 489-493, PDF

+ S. Fidanova, P. Marinov, M. Paprzycki, Influence of the Number of Ants on Multi-objective Ant Colony Optimization Algorithm for Wireless Sensor Network Layout, in: Large-Scale Scientific Computing, Lecture Notes in Computer Science, Springer, 2014, 232-239

+ S. Fidanova, M. Paprzycki, O. Roeva, Hybrid GA-ACO Algorithm for a Model Parameters Identification Problem, in: M. Ganzha et.al. (eds.), Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, IEEE Press, Los Alamitos, CA, 2014, 413-420

+ S. Fidanova, P. Marinov, M. Paprzycki, Multi-objective ACO algorithm for WSN layout: performance according to number of ants, in: Int. J. Metaheuristics, Vol. 3, No. 2, 2014, 149-161

+ O. Roeva, S. Fidanova, M. Paprzycki, Influence of the Population Size on the Genetic Algorithm Performance in Case of Cultivation Process Modelling, in: M. Ganzha et.al. (eds.), Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, IEEE Press, Los Alamitos, CA, 2013, 371-376