Publications

2017

  1. J. Mańdziuk, M. Świechowski (2017), UCT in Capacitated Vehicle Routing Problem with Traffic Jams, Information Sciences, vol. 406-407, 42-56, Elsevier, doi: 10.1016/j.ins.2017.04.020
  2. J. Mańdziuk, M. Świechowski (accepted), Swarm Intelligence in Solving Stochastic Capacitated Vehicle Routing Problem, ICAISC 2017 (June)

2016

  1. M. Świechowski, J. Mańdziuk (2016), Fast Interpreter for Logical Reasoning in General Game Playing, Journal of Logic and Computation, vol. 26 no. 5, 1697-1727, Oxford University Press, doi: 10.1093/logcom/exu058
  2. M. Świechowski, J. Mańdziuk, Y.S.Ong (2016), Specialization of a UCT-based General Game Playing Program to Single-Player Games, IEEE Transactions on Computational Intelligence and AI in Games, vol. 8 no. 3, 218-228 IEEE Press, doi: 10.1109/TCIAIG.2015.2391232
  3. M. Świechowski and J. Mańdziuk, (2016), A Hybrid Approach to Parallelization of Monte Carlo Tree Search in General Game Playing, Studies in Computational Intelliegnce, vol. 634, 199-215, Springer-Verlag.
  4. J. Mańdziuk and A. Żychowski, (2016), A Memetic Approach to Dynamic Vehicle Routing Problem, Applied Soft Computing, vol. 48, 522-534, Elsevier, doi: 10.1016/j.asoc.2016.06.032, (SCI)
  5. J. Mańdziuk, M. Świechowski, (2016), Simulation-based approach to Vehicle Routing Problem with Traffic Jams, 4th IEEE Symposium on Computational Intelligence for Human-Like Intelligence (CIHLI 2016), Athens, Greece, 1-8, IEEE Press
  6. J. Karwowski, J. Mańdziuk, (2016), Mixed strategy extraction from UCT tree in Security Games, 22nd European Conference on Artificial Intelligence (ECAI 2016), The Hague, The Netherlands, 1746-1747, IOS Press
  7. M. Okulewicz and J. Mańdziuk, (2016), A Particle Swarm Optimization hyper-heuristic for the Dynamic Vehicle Routing Problem, The 7th International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2016), Bled, Slovenia, 215-227

2015

  1. M. Świechowski, K. Merrick, J. Mańdziuk, H. Abbass, (2015), Human-Machine Cooperation Loop in Game Playing, International Journal on Advances in Intelligent Systems, vol. 8, no. 3&4, 310-323 (invited paper)
  2. M. Świechowski, H.-S. Park, J. Mańdziuk, K.-J. Kim, (2015), Recent Advances in General Game Playing, The Scientific World Journal, vol. 2015, Article ID: 986262, 22 pages, doi:10.1155/2015/986262, Hindawi Publishing Corporation
  3. K. Walędzik, J. Mańdziuk, S. Zadrożny, (2015), Risk-Aware Project Scheduling for Projects with Varied Risk Levels, 3rd IEEE Symposium on Computational Intelligence for Human-Like Intelligence (CIHLI’2015), Symposium Series on Computational Intelligence (SSCI’2015), Cape Town, South Africa, 1642-1649, IEEE Press
  4. M. Okulewicz, J. Mańdziuk, (2015), Dynamic Vehicle Routing Problem: A Monte Carlo Approach, 2nd International Conference on Information Technologies: Research and Their Interdisciplinary Applications (ITRIA’2015), Pułtusk, 119-138, ICS PAS
  5. J. Karwowski, J. Mańdziuk, (2015), A New Approach to Security Games, Lecture Notes in Artificial Intelligence, vol. 9120, 402-411, Springer-Verlag
  6. J. Mańdziuk, C. Nejman, (2015), UCT-based approach to Capacitated Vehicle Routing Problem, Lecture Notes in Artificial Intelligence, vol. 9120, 679-690, Springer-Verlag
  7. M. Świechowski, K. Merrick, J. Mańdziuk, H. Abbass, (2015), Human-Machine Cooperation in General Game Playing, The Eight International Conference on Advances in Human-Computer Interactions (AHCI’2015), Lisbona, Portugalia, 96-100, IARIA

2014

  1. M. Swiechowski, J. Mańdziuk (2014), Self-Adaptation of Playing Strategies in General Game Playing, IEEE Transactions on Computational Intelligence and AI in Games, 6(4), 367-381, IEEE Press
  2. K. Walędzik, J. Mańdziuk, S. Zadrozny, (2014), Proactive and Reactive Risk-Aware Project Scheduling, 2nd IEEE Symposium on Computational Intelligence for Human-Like Intelligence (CIHLI’2014), Orlando, FL, 94-101 IEEE Press
  3. 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
  4. K. Walędzik, J. Mańdziuk, (2014), An Automatically-Generated Evaluation Function in General Game Playing, IEEE Transactions on Computational Intelligence and AI in Games, 6(3), 258-270, IEEE Press
  5. M. Swiechowski, J. Mańdziuk, (2014), Specialized vs. Multi-Game Approaches to AI in Games, Seventh International Conference on Intelligent Systems (IS’2014), Warszawa, 243-254, IEEE Press
  6. M. Swiechowski, J. Mańdziuk, (2014), Prolog versus specialized logic inference engine in General Game Playing, IEEE Conference on Computational Intelligence in Games (CIG’2014), Dortmund, Germany, 36-43, IEEE Press

2013

  1. M. Okulewicz, J. Mańdziuk, (2013), Application of Particle Swarm Optimization Algorithm to Dynamic Vehicle Routing Problem, Lecture Notes in Artificial Inteligence, vol. 7895, 547-558, Springer-Verlag
  2. 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