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  1. Multiobjective Evolutionary Algorithms, Patrik, Mathias
  2.  Swarm Intelligence,  William, Håvard M
  3.  Bees Algorithm, Artificial Immune systems, Sofie, Markus

Workshop 3: Interesting Topics (1, 2 Lecturer Selection, 3 Student selection)

  1. 'Bio-inspired computation: Where we stand and what’s next', J. Del Ser et al in Journal of Swarm and Evolutionary Computation vol 48, 2019, pp 220–250. Xavier,  Axel 
  2.  Artificial Immune systems, Markus
  3. 'Designing Neural Networks through neuroevolution' Kenneth O. Stanley, Jeff Clune, Joel Lehman and Risto Miikkulainen in Journal of Nature Machine Intelligence, Vol 1, 2019, pp24-35. Erik, Trygve

Workshop 4: Interesting Topics ( Student Selection)  

  1. 'Anarchic Society Optimization: A human-inspired method', A. Ahmadi-Javid,  in  IEEE Congress on Evolutionary Computation, 2011, pp. 2586–2592, Sondre, Mathias

  2. 'A hybrid evolutionary algorithm based automatic query expansion for enhancing document retrieval system', D.K. Sharma, R. Pamula and D.S Chauhan, Journal of Ambient Intelligence and Humanised Computing,  Janna, TrygvePatrik,  (note that due to the length, we will not discuss the state of the art section so you choose whether to read it or not)
  3. 'A Black-Box Attack on Neural Networks Based on Swarm Evolutionary Algorithm',  Xiaolei Liu et al,  Australasian Conference on Information Security and Privacy, ACESP 2020, pp268-284, Patrik

Workshop 5: Interesting Topics ( Student Selection)

  1. ' Grasshopper Optimization Algorithm; Theory Variants and Applications', Y Meraihi et al, in IEEE Access,  vol PP, no. 3, 2021  Håvard M, Håvard H
  2.  'Interpretable AI for policy-making in pandemics' Leonardo Lucio Custode and Giovanni Iacca,  In proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '22).  pp 1763–1769, Sofie
  3. ‘On genetic programming representations and fitness functions for interpretable dimensionality reduction’, T. Uriot et al, in proceedings of the Genetic and Evolutionary Computation Conference,  Jul. 2022, pp. 458–466.

    Xavier, William

Workshop 6: Interesting Topics (Student Selection)

  1.  'In vitro neurons learn and exhibit sentience when embodied in a simulated game-world', Kagan et al., 2022, Neuron 110, pp 1–18, Axel
  2. ' A hybrid algorithm for a Vehicle routing Problem with Realistic Constraints', Zhang, D et al, Journal of information Sciences, pp 167-182, vol 394-395, 2017. Erik
  3.  Axel, 
  4. Erik
  5. 'Adaptability analysis of genetic network programming with reinforcement learning in dynamically changing environments

    Expert Systems and Applications', Volume 39, Issue 16, pp  12349-12357,
  6. Markus, LIv


Workshop 1: 

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namelecture 10 - 2019.pdf
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Workshop 3:

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nameDel ser - bio-inspired.pdf
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namestanley - neuro.pdf
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Workshop 4:

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namePSO adversial samples - Patrik.pdf
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namehybrid - query expansion - Janne-Trygve.pdf
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nameASO-Ahmadi-Javid2011- sondre, mathias.pdf
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Workshop 5: 

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nameGOA- Håvard.pdf
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nameinterpretable AI - Sofie.pdf
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nameUriot 2022 - On GP repr and fitness - Xavier, William.pdf
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Workshop 6: 

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namein vitro - neuron - axel.pdf
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namevehicle routing problem with constraints - Erik.pdf
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nameGNP RL - Liv, Magnus.pdf
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