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- M.Okulewicz, M.Zaborski, J.Mańdziuk, (2022) Self-Adapting Particle Swarm Optimization for continuous
black box optimization, Applied Soft Computing
Volume 131, December 2022, 109722 DOI: 10.1016/j.asoc.2022.109722
- Wersja autorska (preprint)
- Przegląd literatury z zakresu hiperheurystyk
- M.Okulewicz, M.Zaborski, J.Mańdziuk, [arXiv preprint] Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples
- M.Okulewicz, M.Zaborski, M.Małkiński, P.Podbielski, Ł.Lepak, A.Żychowski, M.Uliński, J.Fijałkowski (2022) Generalized Adaptive Particle Swarm Optimization with samples archive [Source Code]. DOI: 10.24433/CO.6937473.v1
- A.Janusz, A.Jamiołkowski, M.Okulewicz, (2022) Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results, Proceedings of the 17th Conference on Computer Science and Intelligence Systems, September 4--7, 2022, Sophia, Bulgaria, DOI: 10.15439/2022F303 KnowledgePit ML Challange
- M.Okulewicz, M.Zaborski, (2021) Benchmarking SHADE algorithm enhanced with model based optimization on the BBOB noiseless testbed, 2021 Genetic and Evolutionary Computation Conference Companion (GECCO '21 Companion), July 10--14, 2021, Lille, France, DOI: 10.1145/3449726.3463290 Video presentation from GECCO
- M.Zaborski, M.Okulewicz, J.Mańdziuk, (2020) Analysis of statistical model-based optimization enhancements in Generalized Self-Adapting Particle Swarm Optimization framework, Foundations of Computing and Decision Sciences, Volume 45, Issue 3, Pages 233-254, DOI: 10.2478/fcds-2020-0013
- M.Zaborski, M.Okulewicz, J.Mańdziuk (2019) Generalized Self-Adapting Particle Swarm Optimization algorithm with model-based optimization enhancements In Proceedings of 2nd PPRAI Conference (pp. 380–383)
- M.Okulewicz, J.Mańdziuk, (2019), A metaheuristic approach to solve Dynamic Vehicle Routing Problem in continuous search space, Swarm and Evolutionary Computation, Volume 48, August 2019, Pages 44-61, DOI: 10.1016/j.swevo.2019.03.008 [Benchmark visualization] [Kilby's Benchmark Data]
- M.Uliński, A.Żychowski, M.Okulewicz, M.Zaborski, H.Kordulewski, (2018), Generalized Self-Adapting Particle Swarm Optimization algorithm, Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science, vol 11101, pp 29-40, DOI: 10.1007/978-3-319-99253-2_3, Springer, Cham
- M.Okulewicz (2017), 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]
- 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]
- M.Okulewicz, (2016), Finding an Optimal Team, Position Papers of the 2016 Federated Conference on Computer Science and Information Systems
- 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.
- 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]
- 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
- 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]
- 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]
- 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
- 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]
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