Activities at Conferences and Workshops

 

Upcoming events

TBA


Past events 

2017

Genetic and Evolutionary Computation Conference (GECCO)

http://gecco-2017.sigevo.org (July 15-19, 2017)

IEEE Congress on Evolutionary Computation (CEC)

http://www.cec2017.org (June 5-8, 2017)

  • Benjamin Doerr and Pietro Oliveto. Tutorial Theory of Evolutionary Computation: Introductory Tutorial. (Slides)
  • Per Kristian Lehre and Pietro Oliveto. Tutorial Theory of Evolutionary Computation: Advanced Tutorial. (Slides)

Dagstuhl Seminar 17191 (Theory of Randomized Optimization Heuristics)

http://www.dagstuhl.de/en/program/calendar/semhp/?semnr=17191 (May 7-12, 2017)

  • Thomas Jansen. Introduction of the COST action.
  • Christine Zarges. Breakout Session to discuss potential future collaborations within the action.

 

2016

IEEE Symposium Series on Computational Intelligence

http://ssci2016.cs.surrey.ac.uk (December 6-9, 2017)

  • Pietro Oliveto. Co-Chair of the Foundations of Computational Intelligence Symposium (FOCI) with keynote speech on From Complexity Theory to Better Algorithms by Benjamin Doerr

Journée Évolution Artificielle Thématique (jET)

http://ea.inria.fr/ (November 2016)

Dagstuhl Seminar 16412 (Automated Algorithm Selection and Configuration)

http://www.dagstuhl.de/de/programm/kalender/semhp/?semnr=16412 (October 9-14, 2016)

Parallel Problem Solving From Nature (PPSN)

http://www.ppsn2016.org (September 17-21, 2016)

IEEE Congress on Evolutionary Computation (CEC)

http://www.wcci2016.org (July 24-29, 2016)

Genetic and Evolutionary Computation Conference (GECCO)

http://gecco-2016.sigevo.org (July 20-24, 2016)

 

Publications

2017

  • George-Valentin Iordache, Florin Pop, Christian Esposito, Aniello Castiglione, “Selection-based Scheduling Algorithms under Service Level Agreement Constraints”, Proceedings of the International Workshop on Smart Services for Edge and Cloud Computing (SSECC-2017), 29-31 May 2017.
  • Christian Esposito, Aniello Castiglione, Constantin-Alexandru Tudorica, Florin Pop, “Security and Privacy for Cloud-Based Data Management in the Health Network Service Chain: A Microservice Approach”, IEEE Communications Magazine, vol. 55, no. 9, September 2017, pp. 102 – 108.
  • Aitor Arrieta, Shuai Wang, Urtzi Markiegi, Goiuria Sagardui, and Leire Etxeberria. Search-based test case generation for cyber-physical systems. In IEEE Congress on Evolutionary Computation (CEC), pages 688-697. IEEE Press, 2017. (to appear)
  • Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, and Alberto Tonda. Multi-objective evolutionary algorithms for influence maximization in social networks. In Giovanni Squillero and Kevin Sim, editors, Applications of Evolutionary Computation, volume 10199 of Lecture Notes in Computer Science, pages 221-233. Springer, 2017. Best Paper Award. (available online)
  • Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, and Andrew M. Sutton. Escaping local optima using crossover with emergent diversity. IEEE Transactions on Evolutionary Computation, 2017. (to appear)
  • Peter Drotár, Stanislav Simonak, Emilia Pietrikova, and Csaba Szabo. Comparison of filter techniques for two-step feature selection. Computing and Informatics, 36:1001-1021, 2017. (to appear)
  • Christian Esposito. Security and privacy for cloud-based data management in health network service chain: a microservice approach. IEEE Communications Magazine, 2017. (to appear)
  • Juraj Gazda, Gabriel Bugár, Marcel Vološin, Peter Drotár, Denis Horváth, and Vladimír Gazda. Dynamic spectrum leasing and retail pricing using an experimental economy. Computer Networks, 121:173-184, 2017. (available online)
  • Juraj Gazda, Viliam Kovác, Peter Tóth, Peter Drotár, and Vladimír Gazda. Tax optimization in an agent-based model of real-time spectrum secondary market. Telecommunication Systems, 64(3):543–558, 2017. (available online)
  • Denis Horváth, Juraj Gazda, and Branislav Brutovsky. A new bio-inspired, population-level approach to the socioeconomic evolution of dynamic spectrum access services. International Journal of Modern Physics C, 28(5):1750062, 2017. (available online)
  • Andrei Lissovoi, Dirk Sudholt, Markus Wagner, and Christine Zarges. Theoretical results on bet-and-run as an initialisation strategy. In Gabriela Ochoa, editor, Proceedings of the 2017 on Genetic and Evolutionary Computation Conference. ACM Press, 2017. (to appear)
  • Marcel Vološin, Juraj Gazda, Peter Drotár, Gabriel Bugár, and Vladimír Gazda. Spatial real-time price competition in the dynamic spectrum access markets. In Natalia Criado Pacheco, Carlos Carrascosa, Nardine Osman, and Vicente Julián Inglada, editors, Multi-Agent Systems and Agreement Technologies, volume 10207 of Lecture Notes in Computer Science, pages 217-229. Springer, 2017. (available online)
  • Aleš Zamuda. Adaptive constraint handling and success history differential evolution for CEC 2017 constrained real-parameter optimization. In IEEE Congress on Evolutionary Computation (CEC). IEEE Press, 2017. (to appear)
  • Aleš Zamuda, Christine Zarges, Gregor Stiglic, and Goran Hrovat. Stability selection using a logistic linear regression genetic algorithm and on healthcare records. In Gabriela Ochoa, editor, Genetic and Evolutionary Computation Conference (GECCO), Companion Material Proceedings. ACM Press, 2017. (to appear)

2016

  • Aitor Arrieta, Shuai Wang, Goiuria Sagardui, and Leire Etxeberria. Search-based test case selection of cyber-physical system product lines for simulation-based validation. In Hong Mei, editor, Proceedings of the 20th International Systems and Software Product Line Conference (SPLC), pages 297-306. ACM Press, 2016. (available online)
  • Aitor Arrieta, Shuai Wang, Goiuria Sagardui, and Leire Etxeberria. Test case prioritization of configurable cyber-physical systems with weight-based search algorithms. In Tobias Friedrich, editor, Proceedings of the 2016 Genetic and Evolutionary Computation Conference (GECCO), pages 1053-1060. ACM Press, 2016. (available online)
  • Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, and Andrew M. Sutton. Emergence of diversity and its benefits for crossover in genetic algorithms. In Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, and Ben Paechter, editors, Parallel Problem Solving from Nature - PPSN XIV, volume 9921 of Lecture Notes in Computer Science, pages 890-900. Springer, 2016. (available online)
  • Thomas Jansen and Christine Zarges. Example landscapes to support analysis of multimodal optimisation. In Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, and Ben Paechter, editors, Parallel Problem Solving from Nature - PPSN XIV, volume 9921 of Lecture Notes in Computer Science, pages 792-802. Springer, 2016. (available online)
  • Dirk Sudholt and Carsten Witt. Update strength in EDAs and ACO: how to avoid genetic drift. CoRR, abs/1607.04063, 2016. (available online)
  • Adam Viktorin, Roman Šenkeřík, Michal Pluhacek, and Aleš Zamuda. Steady success clusters in differential evolution. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1-8. IEEE Press, 2016. (available online)

Working Group 4: Software

 Leder Carlos Fonseca 
 Vice Leader Florin Pop 

 

Overview

Working Group 4 is tasked with support for software development in the field of nature-inspired search and optimisation heuristics. Instead of developing yet another software framework for nature-inspired search and optimisation heuristics it concentrates on the development of useful rules for the development of software and the adaptation of nature-inspired search and optimisation heuristics that are based on and guided by theoretical insights in their functioning. It provides and maintains those parts of the COST Action's Internet website that directly relate to this task, namely a repository of case studies and good practice examples, pieces of example software, important hints and rules structured along the lines of problem properties. It will contribute significantly to the summer school and the joint workshop with industry partners.

Members

Mauro Castelli, Universidade Nova de Lisboa, Portugal
Tudor Cioara, Technical University of Cluj-Napoca, Romania
Michael T. M. Emmerich, Leiden University, The Netherlands
Carlos M. Fonseca, University of Coimbra, Portugal
José Manual García‐Nieto, University of Malaga, Spain
Andreia P. Guerreiro, University of Coimbra, Portugal
Atanas Hristov, University of Information Science and Technology "St. Paul the Apostle", fYR Macedonia
Domagoj Jakobović, University of Zagreb, Croatia
Ilija Jolevski, University of St. Kliment Ohridski, fYR Macedonia
Magdalena Kostoska, Univ. Sts Cyril and Methodius, fYR Macedonia
Algirdas Lančinskas, Vilnius University, Lithuania
Manuel López-Ibáñez, The University of Manchester, United Kingdom
Gara Miranda Valladares, University of La Laguna, Spain
Elena Nechita, University of Bacau, Romania
Miguel Nicolau, University College Dublin, Ireland
Florin Pop, University Politehnica of Bucharest, Romania
Vladimir Rankovic, University of Kragujevac, Serbia
Günter Rudolph, Technische Universität Dortmund, Germany
René Schumann, University of Applied Sciences Western Switzerland - (HES-SO) Valais, Switzerland
Markus Wagner, The University of Adelaide, Australia

The main forum for the joint work in the COST Action are the four different Working Groups. They provide an open forum for everyone interested in our COST Action's objectives.

WG 1 Theory-Driven Applications  Tobias Friedrich 
WG 2  Practice-Driven Theory  Christine Zarges 
WG 3  Benchmarks  Borys Wrobel
WG 4  Software  Carlos Fonseca 

Working Group 3: Benchmarks

 Leader  
 Vice Leader Borys Wrobel 
 
Working Group 3 is tasked with the development of practice-driven theory-affine benchmarks. Bringing together the perspectives which respectively dominate the efforts of WG1 and WG2 its task is to develop useful benchmark for nature-inspired search and optimisation heuristics with a strong focus on discrete search spaces and discrete optimisation problems making sure that the developed benchmarks are relevant from a practical perspective and accessible from a theoretical perspective. It will pursue the same goals for discrete nature-inspired search and optimisation heuristics as the COmparing Continuous Optimisers (COCO) initiative for continuous optimisers. It will establish a workshop and the main international conferences in the field such as Genetic and Evolutionary Computation Conference - GECCO and International Conference on Parallel Problem Solving from Nature – PPSN. The focus will be on competitions based on these workshops. This will serve as a test bed for the results of WG1, a source of inspiration for WG2 and an important and highly visible focus point for anyone interest in the application of nature-inspired search and optimisation heuristics. The benchmarks that are developed will be made publicly available as part of the COST Action's Internet website and WG3 is responsible for providing and maintaining this. 

Working Group 3 uses a Wiki to develop and present contents.