The workshop WEPO 2021 is intended to foster the discussion about Evolutionary Computation (EC) and Population-based Optimization (PO). Nature-inspired algorithms are largely used for solving optimization problems in a large number of fields due to their simplicity and effectiveness. The underlying principles behind these algorithms are simple enough to allow a great adaptability to various problems and domains and, while maintaining excellent effectiveness, they offer the possibility of obtaining explainable solutions. In a scenario where AI is increasingly predominant, but often with black box solutions, the explainability of EC and PO solutions may be an answer to the growing demand for understandable AI. The goal of this workshop is to explore and discuss the latest trends, promising results and hot topics in the fields of EC and PO, offering a discussion forum where new research collaborations can be established.
The workshop is directed towards researchers, practitioners, and students that work on or are interested in evolutionary computation (EC) and population-based optimization (PO) methods. Particular emphasis is given to recent advances in the use of EC and PO in the area of explainable AI.
Download the Call for Papers
The topics of the workshops include all the evolutionary computation methods and population-based optimization techniques, including, but not limited to:
Both theoretical works, novel techniques, and application to real-world problems are on-topic for the workshop. A particular focus of this workshop is the relation between these methods and the larger area of AI, in particular how they can contribute to the development of an explainable AI and how they can be hybridized with other machine learning methods.
WEPO 2021 welcomes three different kinds of submissions:
Paper submission deadline:
OCT 1, 2021 Oct 8, 2021
Notification to authors: Nov 8, 2021
Camera-ready submission: Nov 22, 2021
Workshop date: Nov 29-30, 2021
The workshop will be held online, with a program expected to run for one day, before the main conference. The exact date will be announced later. For further information about participation, please refer to the AIxIA 2021 website.
All accepted research and exploratory papers will be available in a local proceedings volume or, subject to confirmation, to CEUR-WS proceedings. All accepted software demos will be available in the local proceedings.
Authors of a selection of accepted papers will be invited to submit an extended and revised version for publication in an international journal (to be confirmed).
Mauro Castelli, Universidade Nova de Lisboa, Portugal
Eric Medvet, University of Trieste, Italy
Laura Nenzi, University of Trieste, Italy
Marco S. Nobile, Eindhoven University of Technology, the Netherlands
Sara Silva, Universidade de Lisboa, Portugal
Leonardo Trujillo, Instituto Tecnológico de Tijuana, Mexico
Eva Tuba, Singidunum University, Serbia
Marco Virgolin, Centrum Wiskunde & Informatica, the Netherlands