Swarm and Evolutionary Computation Research Symposium (SWEVORS) 2019

#computational #intelligence; #evolutionary #computation; #underwater #glider #path #planning; #algorithms; #CEC #functions


Venue: University of Maribor, Maribor, FERI G-N1.48

Local Organisation: assist. prof. Aleš Zamuda

Participants' Joined Publications List

Participants also endorsed the joined publications in different Benchmarking domains.

The full list is available at https://labraj.feri.um.si/en/Swarm_and_Evolutionary_Computation_Research_Symposium_(SWEVORS)_2019

Evolutionary Algorithms for Underwater Glider Path Planning (UGPP)

Aleš Zamuda and José Daniel Hernández Sosa. Success history applied to expert system for underwater glider path planning using differential evolution. Expert Systems with Applications, 2019, vol. 119, pp. 155--170.




A. Zamuda, J. D. Hernández Sosa, L. Adler. Constrained Differential Evolution Optimization for Underwater Glider Path Planning in Sub-mesoscale Eddy Sampling. Applied Soft Computing, 2016, vol. 42, pp. 93-118.


Zamuda UGPPcorridorASOC2.png


A. Zamuda, J. D. Hernandez Sosa, L. Adler. Improving Constrained Glider Trajectories for Ocean Eddy Border Sampling within Extended Mission Planning Time. IEEE Congress on Evolutionary Computation (CEC) 2016, 2016, pp. 1727-1734.




A. Zamuda, J. D. Hernández Sosa. Differential Evolution and Underwater Glider Path Planning Applied to the Short-Term Opportunistic Sampling of Dynamic Mesoscale Ocean Structures. Applied Soft Computing, November 2014, vol. 24, pp. 95–108.


Zamuda-DE UGPP img150.png

Evolutionary Algorithms for CEC Functions

Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy, Aleš Zamuda. Distance Based Parameter Adaptation for Success-History based Differential Evolution. Swarm and Evolutionary Computation, 2019, vol. 50, pp. 100462.




A. Viktorin, R. Senkerik, M. Pluhacek, T. Kadavy, A. Zamuda. DISH algorithm solving the CEC 2019 100-digit challenge. Proceedings of the 2019 IEEE Congress on Evolutionary Computation, 2019, pp. 1--6.



A. Viktorin, R. Senkerik, M. Pluhacek, T. Kadavy, A. Zamuda. Distance based parameter adaptation for differential evolution. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017.



A. Viktorin, R. Senkerik, M. Pluhacek, A. Zamuda. Steady Success Clusters in Differential Evolution. IEEE SSCI2016 Symposium Series on Computational Intelligence, 2016.


Evolutionary Algorithms for Other Applications and High-Performance Computing

See event website.

  Date and Time




  • Start time: 02 Dec 2019 07:30 PM
  • End time: 03 Dec 2019 01:30 PM
  • All times are (GMT+01:00) CET
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  • Koroška cesta 46
  • Maribor
  • Maribor, Slovenia
  • Slovenia 2000
  • Room Number: G3-N1.48

  • Contact Event Host


Symposium programme

2 December 2019

19:30-22:00 Participants Welcome Social Event, tour around the city Maribor with presentation of UM faculties (day before event)

3 December 2019

  • 08:30-09:00 Arrival of guests at venue with reception in Erasmus+ office, preparation for research discussions
  • 09:00-10:30 Presentations with Discussion of topics:

Evolutionary Computation and Recent Methods (Roman Šenkeřík),

Some Challenges in Applying Computational Intelligence (José Daniel Hernández Sosa),

Benchmarking Computational Intelligence Algorithms (Aleš Zamuda)

Main Participants