Workshop 1: Introduction to Advanced Bio-AI  (Lecturer selection)


  1.  EAs: Introduction to EAs,working with EAs, Multiobjective Evolutionary Algorithms XX
  2.  Swarm Intelligence, Bees Algorithm, Immune Systems XX

Workshop 2: Interesting Topics (1, 2 Lecturer Selection) selection may change prior to start of course - more info to come

  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. XX

  2. '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. XX

Workshop 3: 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, XX

  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,  XX
  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, XX

Workshop 4: Interesting Topics ( Student Selection)

  1. ' Grasshopper Optimization Algorithm; Theory Variants and Applications', Y Meraihi et al, in IEEE Access,  vol PP, no. 3, 2021  XX
  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,XX

  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.

    XX

Workshop 5: 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, XX
  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. XX

  3. 'Adaptability analysis of genetic network programming with reinforcement learning in dynamically changing environments

    Expert Systems and Applications', Volume 39, Issue 16, pp  12349-12357, XX


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