Dates: 20-22 April 2022
This joint track on Evolutionary Machine Learning (EML) will provide a specialized forum of discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture, with the long-term goal of evolving Artificial Intelligence (AI).
In response to the growing interest in the area, and consequent advances of the state-of-the-art, the special session covers theoretical and practical advances on the combination of Evolutionary Computation (EC) and Machine Learning (ML) techniques.
As a joint EuroGP+EvoAPPS track, authors should decide whether their paper will be treated within EvoApplications or EuroGP at the submission time.
Location: TBA
Website: EuroGP 2022
Deadline for submissions: 1 November 2021
EvoStar Conference: 20-22 April, 2022
EuroGP is featured in the conference ranking database CORE (http://portal.core.edu.au/conf-ranks/481/).
Topics
Important dates
Submission deadline: 1 November 2021EvoStar Conference: 20-22 April, 2022
EuroGP
EuroGP is the premier annual conference on Genetic Programming (GP), the oldest and the only meeting worldwide devoted specifically to this branch of evolutionary computation. It is always a high-quality, enjoyable, friendly event, attracting participants from all continents, and offering excellent opportunities for networking, informal contact, and exchange of ideas with fellow researchers. It will feature a mixture of oral presentations and poster sessions and invited keynote speakers.EuroGP is featured in the conference ranking database CORE (http://portal.core.edu.au/conf-ranks/481/).
EvoStar
EvoStar is a leading international event devoted to evolutionary computing, comprising four conferences, EuroGP, EvoApplications, EvoCOP, and EvoMUSART. The low-cost registration includes access to all of them, as well as daily lunch and the conference reception and banquet.TopicsTopics to be covered include, but is not limited to:- Innovative applications of GP
- Theoretical developments
- GP performance and behaviour
- Fitness landscape analysis of GP
- Algorithms, representations and operators for GP
- Search-based software engineering
- Genetic improvement programming
- Evolutionary design
- Evolutionary robotics
- Tree-based GP and Linear GP
- Graph-based GP and Grammar-based GP
- Evolvable hardware
- Self-reproducing programs
- Multi-population GP
- Multi-objective GP
- Parallel GP
- Probabilistic GP
- Object-orientated GP
- Hybrid architectures including GP
- Coevolution and modularity in GP
- Semantics in GP
- Unconventional GP
- Automatic software maintenance
- Evolutionary inductive programming
- Evolution of automata or machines
- Innovative applications of GP
- Theoretical developments
- GP performance and behaviour
- Fitness landscape analysis of GP
- Algorithms, representations and operators for GP
- Search-based software engineering
- Genetic improvement programming
- Evolutionary design
- Evolutionary robotics
- Tree-based GP and Linear GP
- Graph-based GP and Grammar-based GP
- Evolvable hardware
- Self-reproducing programs
- Multi-population GP
- Multi-objective GP
- Parallel GP
- Probabilistic GP
- Object-orientated GP
- Hybrid architectures including GP
- Coevolution and modularity in GP
- Semantics in GP
- Unconventional GP
- Automatic software maintenance
- Evolutionary inductive programming
- Evolution of automata or machines
the EvoML joint track
Please visit: http://www.evostar.org/2022/eml/This joint track on Evolutionary Machine Learning (EML) will provide a specialized forum of discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture, with the long-term goal of evolving Artificial Intelligence (AI).
In response to the growing interest in the area, and consequent advances of the state-of-the-art, the special session covers theoretical and practical advances on the combination of Evolutionary Computation (EC) and Machine Learning (ML) techniques.
As a joint EuroGP+EvoAPPS track, authors should decide whether their paper will be treated within EvoApplications or EuroGP at the submission time.
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