2014

Publikacje 2014

Monografie:

  • Jedrzejowicz, P., Wierzbowska, I.: Impact of  Migration Topologies on Performance of Teams of Agents, in: J.W.Tweedale, L.C. Jain (Eds.) Recent Advances in Knowledge-based Paradigms and Applications. Enhanced Applications Using Hybrid Artificial Intelligence Techniques, Advances in Intelligent Systems and Computing, vol. 234, Springer, 2014,  115 – 128.

Czasopisma:

  • Czarnowski, I., Jędrzejowicz, P.: An Approach to RBF Initialization with Feature Selection, 7th IEEE Conference on Intelligent Systems, Warszawa, 2014
  • Czarnowski, I., Jędrzejowicz, P.: An Approach to RBF Initialization with Feature Selection, w: Angelov, P. et al. (red.) Intelligent Systems’2014, Proc. 7th IEEE Conference Intelligent Systems’2014, Springer, Springer, Cham, Heidelberg. New York, 2014, 671 - 672
  • Czarnowski, I., Jędrzejowicz, P.: Designing RBF Networks Using the Agent-Based Population Learning Algorithm, New Generation Computing, 32(3-4),  2014, 309 – 351
  • Czarnowski, I., Jędrzejowicz, P.: Ensemble Classifi er for Mining Data Streams, Procedia Computer Science, 35, 2014, 397 - 406
  • Czarnowski, I., Jędrzejowicz, P.: Online learning based on prototypes, in: N.T.Nguyen et al. “Intelligent Information and Data-base Systems”, LNAI 8398 Part II, Springer, Cham, Heidelberg. New York, 2014, 187 -196
  • Jędrzejowicz, P.,  Czarnowski, I.,  Robert J. Howlett, R.J., Jain, L.C. (red.): Knowledge-Based and Intelligent Information & Engineering Systems, KES-2014 Gdynia, Procedia Computer Science, 35, 2014, 1-1728
  • Jędrzejowicz, J., Jędrzejowicz, P.: A family of the on-line distance-based classifiers, in: N.T.Nguyen et al. “Intelligent Information and Data-base Systems”, LNAI 8398 Part II, Springer, Cham, Heidelberg. New York, 2014, 177 – 186
  • Jędrzejowicz, P., Ratajczak-Ropel, E.: Reinforcement learning strategy for A-Team solving the resource constrained project scheduling problem, Neurocomputing, 146, 2014, 301 - 307
  • Jędrzejowicz, P., Ratajczak-Ropel, E.: Reinforcement learning strategy for solving the resorce constrained Project scheduling problem by a team of a-teams, in: N.T.Nguyen et al. “Intelligent Information and Data-base Systems”, LNAI 8398 Part II, Springer, Cham, Heidelberg. New York, 2014, 197 – 206
  • P., Ratajczak-Ropel, E.: Reinforcement learning strategy for A-Team solving the resource constrained project scheduling problem, Neurocomputing, 146, 2014, 301 - 307
  • Jędrzejowicz, P., Skakovski, A.: Island-based Differential Evolution Algorithm for the Discrete-continuous Scheduling with Continuous Resource Discretisation, Procedia Computer Science, 35, 2014, 111-117

Wytworzył informację:

29.10.2024
Wprowadzenie:
J.Łosiński 29.10.2024
Ostatnia modyfikacja:
J.Łosiński 29.10.2024