Publications

Citation Index: over 620 (ISI Web of Science, without self citations)
h-index: 13 (ISI Web of Science, without self citations)

I. Articles in Refereed Journals from Thomson Reuters Journal Citation Reports:

  1. R. Rudek, I. Rudek, Models and algorithms for the preventive maintenance optimization of railway vehicles, Expert Systems with Applications, 240:122589.1-14, 2024.
  2. R. Rudek, A generic optimization framework for scheduling problems under machine deterioration and maintenance activities, Computers & Industrial Engineering, 174:108800.1-22, 2022.
  3. R. Rudek, A fast neighborhood search scheme for identical parallel machine scheduling problems under general learning curves, Applied Soft Computing, 113:108023.1-16, 2021.
  4. R. Rudek, I. Heppner, Efficient algorithms for discrete resource allocation problems under degressively proportional constraints, Expert Systems with Applications, 149:113293.1-17, 2020.
  5. K. Cegiełka, J. Łyko, R. Rudek, Beyond the Cambridge Compromise algorithm towards degressively proportional allocations, Operational Research, 19:317–332, 2019.
  6. A. Kozik, R. Rudek, An Approximate/Exact objective based search technique for solving general scheduling problems, Applied Soft Computing, 62:347-358, 2018.
  7. R. Rudek, The single machine total weighted completion time scheduling problem with the sum-of-processing time based models: strongly NP-hard, Applied Mathematical Modelling, 50:314-332, 2017.
  8. R. Rudek, Scheduling on parallel processors with varying processing times, Computers & Operations Research, 81:90-101, 2017.
  9. R. Rudek, Parallel machine scheduling with general sum of processing time based models, Journal of Global Optimization, 68:799-814, 2017.
  10. J. Łyko, R. Rudek, Operations research methods in political decisions: a case study on the European Parliament composition, Computational and Mathematical Organization Theory, 23:572-586, 2017.
  11. R. Rudek, Computational complexity and solution algorithms for a vector sequencing problem, Computers & Industrial Engineering, 98:384-400, 2016.
  12. R. Rudek, A. Wielgus, Erratum to: On flowshop scheduling problems with the aging effect and resource allocation, International Journal of Advanced Manufacturing Technology, 81:2193-2194, 2015.
  13. R. Rudek, A. Rudek, A note “On a single machine-scheduling problem with separated position and resource effects”, Optimization – A Journal of Mathematical Programming and Operations Research, 64:2043-2046, 2015.
  14. R. Rudek, Exact and parallel metaheuristic algorithms for the single processor total weighted completion time scheduling problem with the sum-of-processing-time based models, Computers & Operations Research, 46:91-101, 2014.
  15. R. Rudek, Computational complexity of the single processor makespan minimization problem with release dates and job-dependent learning, Journal of the Operational Research Society, 65:1170-1176, 2014.
  16. R. Rudek, The computational complexity analysis of the two-processor flowshop problems with position dependent job processing times, Applied Mathematics and Computation, 221:819-832, 2013.
  17. J. Łyko, R. Rudek, A fast exact algorithm for the allocation of seats for the EU Parliament, Expert Systems with Applications, 40:5284-5291, 2013.
  18. A. Rudek, R. Rudek, Makespan minimization flowshop with position dependent job processing times – computational complexity and solution algorithms, Computers & Operations Research, 40:2071-2082, 2013.
  19. R. Rudek, A. Rudek, A. Kozik, The solution algorithms for the multiprocessor scheduling with workspan criterion, Expert Systems with Applications, 40:2799–2806, 2013.
  20. R. Rudek, On single processor scheduling problems with learning dependent on the number of processed jobs, Applied Mathematical Modelling, 37:1523-1536, 2013.
  21. R. Rudek, Minimising maximum lateness in a single machine scheduling problem with processing time-based aging effects, European Journal of Industrial Engineering, 7:206-223, 2013.
  22. R. Rudek, A note on proving the strong NP-hardness of a scheduling problem with position dependent job processing times, Optimization Letters, 7:613-616, 2013.
  23. R. Rudek, The single processor total weighted completion time scheduling problem with the sum-of-processing-time based learning model, Information Sciences, 199:216-229, 2012.
  24. R. Rudek, Scheduling problems with position dependent job processing times:
    computational complexity results, Annals of Operations Research, 196:491-516, 2012.
  25. A. Rudek, R. Rudek, On flowshop scheduling problems with the aging effect and resource allocation, International Journal of Advanced Manufacturing Technology, 62:135-145, 2012.
  26. R. Rudek, The strong NP-hardness of the maximum lateness minimization scheduling problem with the processing-time based aging effect, Applied Mathematics and Computation, 218:6498-6510, 2012.
  27. R. Rudek, Some single-machine scheduling problems with the extended sum-of-processing-time based aging effect, International Journal of Advanced Manufacturing Technology, 59:299-309, 2012.
  28. R. Rudek, A note on proving the strong NP-hardness of some scheduling problems with start time dependent job processing times, Optimization Letters, 6:1021-1025, 2012.
  29. R. Rudek, Computational complexity and solution algorithms for flowshop scheduling problems with the learning effect, Computers & Industrial Engineering, 61:20-31, 2011.
  30. A. Rudek, R. Rudek, A note on optimization in deteriorating systems using scheduling problems with the aging effect and resource allocation models, Computers & Mathematics with Applications, 62:1870–1878, 2011.
  31. A. Janiak, R. Rudek, A note on the learning effect in multi-agent optimization, Expert Systems with Applications, 38:5974–5980, 2011.
  32. A. Janiak, R. Rudek, A note on a makespan minimization problem with a multi-ability learning effect, OMEGA – The International Journal of Management Science, 38:213-217, 2010.
  33. A. Janiak, R. Rudek, Scheduling jobs under an aging effect, Journal of the Operational Research Society, 61:1041–1048, 2010.
  34. A. Janiak, R. Rudek, Experience based approach to scheduling problems with the learning effect, IEEE Transactions on Systems, Man and Cybernetics Part A, 39: 344-357, 2009.
  35. A. Janiak, W. Janiak, R. Rudek, A. Wielgus, Solution algorithms for the makespan minimization problem with the general learning model, Computers & Industrial Engineering, 56:1301-1308, 2009.
  36. A. Janiak, R. Rudek, A new approach to the learning effect: Beyond the learning curve restrictions, Computers & Operations Research, 35: 3727–3736, 2008.
  37. A. Janiak, R. Rudek, Viewpoint on: Complexity results for single-machine scheduling with positional learning effects (Journal of the Operational Research Society 58 (2007) 1099–1102), Journal of the Operational Research Society, 59: 1430, 2008.
  38. A. Janiak, R. Rudek, The learning effect: Getting to the core of the problem, Information Processing Letters, 103:183–187, 2007.

Editorial:

  1. P. Liu, H. Gong, B. Fan, R. Rudek, P. Damodaran, G. Tang, [Editorial] Recent advances in scheduling and its applications, Discrete Dynamics in Nature and Society, 2015:1-2, 2015.

II. Articles in Refereed Journals (others):

  1. J. Łyko, R. Rudek, K. Horubski, The European Parliament: status quo vs. degressive proportionality, The European Proceedings of Social & Behavioural Sciences, XXI:23-33, 2017 [after the 4th International Conference on Political Science, International Relations and Sociology, International Relations and Sociology, 7-9 February 2017, Olomouc, Czech Republic].
  2. K. Cegiełka, P. Dniestrzański, J. Łyko, R. Rudek, The European Parliament after Brexit, The European Proceedings of Social & Behavioural Sciences, XVII:146-157, 2016 [after the 3rd International Conference on Business and Economics, 21-23 September 2016, Selangor, Malaysia].
  3. L. Łyko, R. Rudek, An algorithmic analysis of degressively proportional apportionments, Journal of Computer Science & Computational Mathematics, 6:53-57, 2016.
  4. R. Rudek, A. Wielgus, Metaheuristic algorithms for scheduling on parallel machines with variable setup times, Economic Problems of Services, 122:369-377, 2016.
  5. P. Skworcow, D. Paluszczyszyn, B. Ulanicki, R. Rudek, T. Belrain, Optimisation of pump and valve schedules in complex large-scale water distribution systems using GAMS modelling language, Procedia Engineering, 70:1566-1574, 2014.
  6. P. Krawiec, A. Bęben, P. Wiśniewski, J. Mongay Batalla, J. Borzdyński, J. Gutkowski, P. Ostapowicz, A. Kozik, R. Rudek, The implementation of a content aware network in system IIP (Future Internet Engineering), Telecommunication Review and Telecommunication News, 85 (8/9):1469-1480, 2012 (in Polish).
  7. T. Czyz, R. Rudek, H. Selvaraj, Parallel computation approaches to optimize learning systems, International Journal of Electronics and Telecommunications, 57:223-228, 2011.
  8. R. Rudek, Single-processor scheduling problems with both learning and aging effects, Advanced Information Technologies for Management – AITM2011, Eds. J. Korczak, H. Dudycz, M. Dyczkowski, Research Papers of Wroclaw University of Economics, 206:173-182, 2011.
  9. R. Rudek, Metaheuristic algorithms for optimization of varying efficiency production systems, Advanced Information Technologies for Management – AITM2010, Eds. J. Korczak, H. Dudycz, M. Dyczkowski, Research Papers of Wroclaw University of Economics, 147:232-243, 2010.

III. Refereed Book Chapters:

  1. R. Rudek, An enhancement of reinforcement learning by scheduling with learning effects, Annals of Computer Science and Information Systems, Eds: M. Ganzha, L. A. Maciaszek, M. Paprzycki, D. Slezak, 2023, Vol. 35, pp. 689-697 [FedCSIS 2023].
  2. I. Rudek, R. Rudek, Optimizing maintenance cost of uniform rolling stock by scheduling algorithms, Advances in Systems Engineering, Lecture Notes in Networks and Systems, Eds. L. Borzemski, H. Selvaraj, J. Świątek, 2022, Vol. 364, pp. 261–270 [ICSEng 2021].
  3. K. Cegiełka, P. Dniestrzański, J. Łyko, A. Marciuk, R. Rudek, On ordering a set of degressively proportional apportionments, Transactions on Computational Collective Intelligence XXVII, Lecture Notes in Computer Science, 2017, pp. 53-62.
  4. K. Brzostowski, D. Gąsior, A. Grzech, K. Juszczyszyn, G. Kołaczek, A. Kozik, R. Rudek, A. Sławek, L. Szczurowski, P. Świątek, Business process optimization platform for integrated information systems, Information Systems Architecture and Technology: System Analysis Approach to the Design, Control and Decision Support, Eds. J. Świątek (et al.), 2014, pp. 13-22.
  5. P. Krawiec, A. Bęben, P. Wiśniewski, J. Mongay Batalla, J. Borzdyński, J. Gutkowski, P. Ostapowicz, A. Kozik, R. Rudek, Realizacja sieci świadomej treści w oparciu o wirtualne zasoby Systemu IIP, Inzynieria Internetu Przyszlosci. Czesc 2, Oficyna Wydawnicza PW, Warszawa, 2013, pp. 146-164.
  6. A. Kozik, R. Rudek, P. Świątek, A. Grzech, Resource allocation problems in network processors for the Future Internet, Frontiers in Artificial Intelligence and Applications Vol. 243, Advances in Knowledge-Based and Intelligent Information and Engineering Systems, Eds. M. Grana, C. Toro, J. Posada, R.J. Howlett, L.C. Jain, 2012, pp. 1509-1520.
  7. R. Rudek, A. Rudek, Computational complexity of scheduling problems with varying processing times, Information Systems Architecture and Technology: System Analysis Approach to the Design, Control and Decision Support, Eds. L. Borzemski, A. Grzech, J. Świątek, Z. Wilimowska, 2011, pp. 319-328.
  8. R. Rudek, A. Rudek, Exact and approximation algorithms for a scheduling problem with learning, Information Systems Architecture and Technology: System Analysis Approach to the Design, Control and Decision Support, Eds. L. Borzemski, A. Grzech, J. Świątek, Z. Wilimowska, 2011, pp. 309-318.
  9. A. Rudek, R. Rudek, Flowshop scheduling with position dependent job processing times, Information Systems Architecture and Technology: System Analysis Approach to the Design, Control and Decision Support, Eds. L. Borzemski, A. Grzech, J. Świątek, Z. Wilimowska, 2011, pp. 299-308.
  10. R. Rudek, A. Wielgus, Solution algorithms for some scheduling problems with learning considerations, Application of Systems Science, Eds. A. Grzech, P. Świątek, K. Brzostowski, Academic Publishing House EXIT, Warszawa, 2010, pp. 33-42.
  11. A. Janiak, R. Rudek, A. Wielgus, Minimization of the number of late products in deteriorating environments, Information Systems Architecture and Technology: System Analysis in Decision Aided Problems, Eds. J. Świątek, L. Borzemski, A. Grzech, Z. Wilimowska, Wrocław, 2009, pp. 333-342.
  12. A. Janiak, R. Rudek, A. Wielgus, Solution algorithms for a flowshop problem with an aging effect, Information Systems Architecture and Technology: System Analysis in Decision Aided Problems, Eds. J. Świątek, L. Borzemski, A. Grzech, Z. Wilimowska, Wrocław, 2009, pp. 323-332
  13. A. Janiak, T. Krysiak, R. Rudek, Some single processor scheduling problems with variable processing time, Badania operacyjne systemowe: decyzje, gospodarka, kapitał ludzki i jakość, Eds. J. W. Owsiński, Z. Nahorski, T. Szapiro, Warszawa, 2008, pp. 331-340.
  14. A. Janiak, P. Kaca, T. Krysiak, R. Rudek, Single machine scheduling problems with resource dependent deteriorating jobs, Badania operacyjne systemowe: decyzje, gospodarka, kapitał ludzki i jakość, Eds. J. W. Owsiński, Z. Nahorski, T. Szapiro, Warszawa, 2008, pp. 321-330.
  15. A. Janiak, R. Rudek, Scheduling problems with position dependent job processing times, Scheduling in Computer and Manufacturing Systems, Ed. Adam Janiak, Wydawnictwa Komunikacji i Łączności, 2006, pp. 26-38.

IV. Refereed Conference Proceedings:

  1. T. Marchel, R. Rudek, Metaheuristics for scheduling on parallel machines under deteriorating and maintenances, Proceedings of the 26th International Conference on Methods and Models in Automation and Robotics, 22-25 August 2022, Międzyzdroje, Poland, pp. 222-226.
  2. I. Rudek, R. Rudek, Heuristic workload scheduling algorithms for rolling stocks with mixed preventive maintenance policies, Proceedings of the 25th International Conference on Methods and Models in Automation and Robotics, 23-26 August 2021, Międzyzdroje, Poland, pp. 297-302.
  3. I. Heppner, R. Rudek, Improve railway vehicle availability by scheduling under preventive maintenance policies, Proceedings of the 48th International Conference on Computers & Industrial Engineering, 2-5 December 2018, Auckland, New Zealand, pp.342.1-342.8.
  4. A. Kozik, R. Rudek, A novel Approximate/Exact objective based search technique for precedence constrained scheduling problems, Proceedings of the 7th Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2015), 25-28 August 2015, Prague, Czech Republic, pp. 484-491.
  5. J. Łyko, R. Rudek, An algorithmic approach to analyse degressively proportional divisions, Proceedings of the 3rd International Conference on Computer Science and Computational Mathematics, 8-9 May 2014, Langkawi, Malaysia, pp. 192-195.
  6. R. Rudek, A. Rudek, A. Kozik, P. Skworcow, Optimization of task processing on parallel processors with learning abilities, Proceedings of the 18th International Conference on Methods and Models in Automation and Robotics, 26-29 August 2013, Międzyzdroje, Poland, pp. 40-45.
  7. M. Demkiewicz, A. Kozik, R. Rudek, P. Schauer, P. Świątek, Enabling determination of packet scheduling algorithms in network processors, Proceedings of the 17th Polish Teletraffic Sympiosium, 5-7 December 2012, Zakopane, Poland, pp. 111-114.
  8. J. Łyko, A. Rot, R. Rudek, Application of the criterion of proportional allocation in the case of degressively proportional division, Proceedings of International Conference on Mathematical Sciences & Computer Engineering, 29-30 November 2012, Kuala Lumpur, Malaysia, pp. 33-37.
  9. A. Rudek, R. Rudek, A flowshop scheduling problem with machine deterioration and maintenance activities, Proceedings of the 17th International Conference on Methods and Models in Automation and Robotics, 27-30 August 2012, Międzyzdroje, Poland, pp. 40-45.
  10. R. Rudek, A. Rudek, A. Kozik, P. Skworcow, An impact of model parameter uncertainty on scheduling algorithms, Proceedings of the 14th International Conference on Enterprise Information Systems, 28 June – 1 July 2012, Wrocław, Poland, pp. 353-356.
  11. R. Rudek, A. Rudek, P. Skworcow, An optimal sequence of tasks for autonomous learning systems, Proceedings of the 16th IEEE International Conference on Methods and Models in Automation and Robotics,  22-25 August 2011, Międzyzdroje, Poland, pp. 16-21.
  12. R. Rudek, A. Rudek, T. Czyż, Parallel computation approach to solve total cost minimization scheduling problem, Proceedings of the 16th IEEE International Conference on Methods and Models in Automation and Robotics,  22-25 August 2011, Międzyzdroje, Poland, pp. 22-26.
  13. T. Czyż, R. Rudek, Scheduling jobs on an adaptive processor, Proceedings of the 8th and 9th Polish-British Workshop, Computer Systems Engineering, Theory and Application, IET Control and Automation Professional Network, 2011, pp. 200-207.
  14. M. Bazyluk, L. Koszałka, K. J. Burnham, R. Rudek, Determining the input bias on efficiency of metaheuristic algorithms for a parallel machine scheduling problem, Proceedings of the 8th and 9th Polish-British Workshop, Computer Systems Engineering, Theory and Application, IET Control and Automation Professional Network, 2011, pp. 9-28.
  15. A. Janiak, R. Rudek, W. Janiak, On scheduling problems with an intelligent use of the learning effect, Proceedings of the 1st Asian Conference on Intelligent Information and Database Systems, IEEE Computer Society Press, 1-3 April 2009, Dong Hoi, Vietnam, pp. 7-12.
  16. A. Janiak, W. Janiak, R. Rudek, A. Wielgus, CNC machine scheduling problems with the tool aging, Preprints of the 9th IFAC Workshop on Intelligent Manufacturing Systems, 2008, 9-10 October 2008, Szczecin, Poland, pp. 175-179.
  17. A. Janiak, R. Rudek, Comparison of metaheuristic algorithms for a scheduling problem with learning considerations, Proceedings of the 7th Polish-British Workshop, Computer Systems Engineering, Theory and Application, IET Control and Automation Professional Network, 2008, pp. 188-203.
  18. A. Janiak, R. Rudek, Scheduling in distributed databases with unlimited cache memory of a client, Proceedings of the 6th Polish-British Workshop, Computer Systems Engineering, Theory and Application, IET Control and Automation Professional Network, 2008, pp. 94-103.
  19. A. Janiak, R. Rudek, Solution algorithms of the makespan minimization problem with the S-shaped learning model, Proceedings of the 13th IEEE International Conference on Methods and Models in Automation and Robotics, 27-30 August 2007, Szczecin, Poland, pp. 1157-1160.
  20. A. Janiak, T. Krysiak, R. Rudek, On a scheduling problem with a stepwise learning curve, Proceedings of the 13th IEEE International Conference on Methods and Models in Automation and Robotics, 27-30 August 2007, Szczecin, Poland, pp. 1161-1164.
  21. A. Wielgus, R. Rudek, L. Koszałka, I. Poźniak-Koszałka, K. J. Burnham, Heuristic algorithms of production planning for some industrial flexible manufacturing system, Proceedings of the 16th International Conference on Systems Science, 4-6 September 2007, Wrocław, Poland, pp. 167-172.
  22. R. Januszkiewicz, T. Krysiak, R. Rudek, H. Tomczyk, Scheduling of the IP datagrams in a router Quality of Service (QoS), Proceedings of the 41th Spring International Conference on Modelling and Simulation of Systems, 24-26 April 2007, Varnov, Czech Rebublic, pp. 189-196.
  23. L. Koszałka, R. Rudek, I. Poźniak-Koszałka, An idea of using reinforcement learning in adaptive control systems, Fifth International Conference on Networking and the International Conference on Systems (ICN / ICONS / MCL 2006), Proceedings, IEEE Computer Society Press, 23-29 April 2006, Mauritius, pp. 408-413.
  24. A. Janiak, R. Rudek, A makespan study of the single processor scheduling problem with an extended learning effect, Proceedings of the 12th IEEE International Conference on Methods and Models in Automation and Robotics, 28-31 August 2006, Międzyzdroje, Poland, pp. 1101-1106.
  25. A. Janiak, R. Rudek, A branch and bound approach for single processor scheduling problem with an extended model of the learning effect and makespan minimization, Proceedings of the 12th IEEE International Conference on Methods and Models in Automation and Robotics, 28-31 August 2006, Międzyzdroje, Poland, pp. 1097-1100.
  26. R. Rudek, L. Koszałka, I. Poźniak-Koszałka, A multi-agent approach to routing in computer networks, Proceedings of the 18th International Conference on System Engineering, 5-7 September 2006, Coventry, UK, pp. 413-418.
  27. M. Gorczyca, T. Krysiak, R. Rudek, H. Tomczyk, Analysis of usefulness of the optimization techniques to solve the design problems in wide area networks, Advanced Simulation of Systems. Proceedings of the XXVIIIth International Autumn Colloquium. Ed. Jan Stefan, 12-14 September 2006, Varnov, Czech Republic, pp. 207-213.
  28. R. Rudek, L. Koszałka, I. Poźniak-Koszałka, Introduction to multi-agent Modified Q-learning Routing for computer networks, Advances Industrial Conference on Telecommunications/ Service Assurance with Partial and Intermittent Resource Conference/ E-learning on Telecommunications Workshop, Proceedings, IEEE Computer Society Press, 17-20 July 2005, Lisbon, Portugal, pp. 408-413.
  29. R. Rudek, I. Poźniak-Koszałka, L. Koszałka, O. Haas, K. J. Burnham, System with database for evaluating routing algorithms in computer networks, Proceedings of the 14th IASTED International Conference on Applied Simulation and Modelling, 15-17 June 2005, Benalmadena, Spain, pp. 192-197
  30. A. Janiak, R. Rudek, On a general model of the learning effect, Proceedings of the 11th IEEE International Conference on Methods and Models in Automation and Robotics, 29 August – 1 September 2005, Międzyzdroje, Poland, pp. 1115-1120.
  31. A. Janiak, R. Rudek, On a scheduling with the aging effect, Proceedings of the 11th IEEE International Conference on Methods and Models in Automation and Robotics, 29 August – 1 September 2005, Międzyzdroje, Poland, pp. 1121-1124.
  32. A. Janiak, R. Rudek, A model of query scheduling and cache management for databases over the Web, Proceedings of the 5th Polish-British Workshop, Computer Systems Engineering, Theory and Application, IEE Control and Automation Professional Network, 2-5 June 2005, Lądek Zdrój, Poland, pp. 125-134.
  33. A. Janiak, T. Krysiak, M. Piecyk, R. Rudek, M. Winczaszek, Agent-based approach to support value based management, Information Systems Architecture and Technology ISAT 2005, Proceedings of the 26th International School Information Systems Concepts, Tools and Applications, 21-23 September 2005, Szklarska Poręba, Poland, pp. 56-62.
  34. R. Rudek, P. Skworcow, O. Haas, K. J. Burnham, Robot soccer as a teaching and research tool: example of reinforcement learning and web connectivity, Proceedings of the 15th International Conference on Systems Science, Eds Zdzisław Bubnicki, Adam Grzech, 7-10 September 2004, Wrocław, Poland, Vol. 2, pp. 259-266.
  35. R. Rudek, K. J. Burnham, L. Koszałka, Introduction to PI adaptive auto-tuning using reinforcement learning algorithm, Proceedings of the 4th Polish-British Workshop, Computer Systems Engineering, IEE Control and Automation Professional Network, 24-29 May 2004, Wrocław-Szklarska Poręba, Poland, pp. 137-146.
  36. I. Poźniak-Koszałka, R. Rudek, System with database for evaluating some multicriterion optimisation algorithms, Sixteenth International Conference on Systems Engineering, ICSE ’2003, Proceedings, Eds Keith J. Burnham and Olivier C. L. Haas, 9-11 September 2003, Coventry, UK, Vol. 2, pp. 565-569.
  37. R. Rudek, Q-learning based algorithm for solving unknown multi-criteria graphs, Computer recognition systems, Proceedings of the 3rd Conference on Computer Recognition Systems (KOSYR 2003), Eds Marek Kurzyński, Edward Puchała, Michał Woźniak, 26-29 May 2003, Miłków, Poland, pp. 407-410.
  38. L. Koszałka, R. Rudek, Computer experimentation system for testing optimisation algorithms, Advanced Simulation of Systems. Proceedings of the XIVth International Autumn Colloquium. Ed. Jan Stefan, 9-11 September 2002, Krnov, Czech Republic, pp. 55-60.