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May 16. 2018 00:25:43
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  1. M.Okulewicz, 2-Dimensional Rectangles-in-Circles Packing and Stock Cutting with Particle Swarm Optimization, 2017 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS'17), 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings, pp. 3125 - 3129, DOI: 10.1109/SSCI.2017.8280900, IEEE [Benchmark]
  2. M.Okulewicz, J.Mańdziuk, (2017), The impact of particular components of the PSO-based algorithm solving the Dynamic Vehicle Routing Problem, Applied Soft Computing, Volume 58, September 2017, Pages 586-604, DOI: 10.1016/j.asoc.2017.04.070 [Benchmark] [Code]
  3. M.Okulewicz, (2016), Finding an Optimal Team, Position Papers of the 2016 Federated Conference on Computer Science and Information Systems
  4. M.Okulewicz, D.Bodzon, M.Kozak, M.Piwowarski, P.Tenderenda, (2016), Indoor Localization of a Moving Mobile Terminal by an Enhanced Particle Filter Method, In International Conference on Artificial Intelligence and Soft Computing (512-522), Springer International Publishing.
  5. M.Okulewicz, J.Mańdziuk, (2016), A Particle Swarm Optimization Hyper-Heuristic for the Dynamic Vehicle Routing Problem, Proceedings of Bioinspired Optimization Methods and their Applications, 215-227, Jozef Stefan Institute [Benchmark]
  6. R.Górak, M.Luckner, M.Okulewicz, J.Porter–Sobieraj, P.Wawrzyniak, (2016), Indoor Localisation Based on GSM Signals: Multi–storey Building Study, Mobile Information Systems
  7. M.Okulewicz, J.Mańdziuk, (2015), Dynamic Vehicle Routing Problem: A Monte Carlo approach, Information Technologies: Research and Their Interdisciplinary Applications 2015, 119-138, Institute of Computer Science Polish Academy of Sciences [Benchmark]
  8. M.Okulewicz, J.Mańdziuk, (2014), Two-Phase Multi-Swarm PSO and the Dynamic Vehicle Routing Problem, 2nd IEEE Symposium on Computational Intelligence for Human-Like Intelligence (CIHLI’2014), Orlando, FL, 86-93, IEEE Press [Benchmark]
  9. J.Karwowski, M.Okulewicz, J.Legierski, (2013), Application of Particle Swarm Optimization Algorithm to Neural Network Training Process in the Localization of the Mobile Terminal, Communications in Computer and Information Science, vol. 383, 122–131, Springer-Verlag
  10. M.Okulewicz, J.Mańdziuk, (2013), Application of Particle Swarm Optimization Algorithm to Dynamic Vehicle Routing Problem, Lecture Notes in Computer Science, vol. 7895, 547-558, Springer-Verlag [Benchmark]


  1. M.Uliński, A.Żychowski, M.Okulewicz, M.Zaborski, H.Kordulewski, Generalized Self-Adapting Particle Swarm Optimization algorithm, PPSN 2018

W przygotowaniu

  1. M.Okulewicz, J.Mańdziuk, Solving Dynamic Vehicle Routing Problem in a continuous search space

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