A recurring theme in metaheuristics research is to consider the balance between Exploration and Exploitation. An often forgotten area of research is the effect of Selection on Search/Exploration. A method of selection that rejects all exploratory search solutions can cause any metaheuristic to stall, and elitist fitness-based selection in continuous domains often behaves in this fashion. A building body of research suggests that alternate methods of selection are required, and that these methods of selection should be specifically matched to the employed methods of exploration.

We invite all interested researchers to join our workshop to expand upon related research topics such as

  • Benchmark problems for exploration
  • Methods for exploration (and their verification)
  • Observation of optima hopping behaviours in metaheuristics
  • Comparison of selection in combinatorial and continuous domains
  • Measurements of stall and/or selection errors
  • Non-fitness based methods of selection (for exploration)
  • A review of selection

Workshop participation is open to all conference attendees. If you would like to present relevant research during a plenary session of the workshop, please contact the organizers:

Stephen Chen, Associate Professor, School of Information Technology, York University, Canada

Marjan Mernik, Professor, Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia

We look forward to seeing you in Yokohama!

https://www.yorku.ca/sychen/research/workshops/CEC2024_Search_and_Selection_Workshop.html

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