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SI-UNCAB 2020 : Natural Computing - Special Issue on Understanding Natural Computing Algorithm Behaviour
SI-UNCAB 2020 : Natural Computing - Special Issue on Understanding Natural Computing Algorithm Behaviour

SI-UNCAB 2020 : Natural Computing - Special Issue on Understanding Natural Computing Algorithm Behaviour

Submission Deadline: April 30, 2020
Notification of Acceptance: June 30, 2020
Camera Ready Version Due: July 31, 2020




About

The focus of this workshop is to highlight theoretical and empirical research that investigate approaches needed to analyze stochastic optimization algorithms and performance assessment with regard to different criteria. The main goal is to bring the problem and importance of understanding optimization algorithms closer to researchers and to show them how and why this is important for future development in the optimization community. This will help researchers/users to transfer the gained knowledge from theory into the real world, or to find the algorithm that is best suited to the characteristics of a given real-world problem.


Call for Papers

This special issue seeks to provide an opportunity for researchers to present their original contributions on understanding of optimization algorithm behavior, and any related issues. The special issue topics include (but are not limited to) the following:

- Data-driven approaches (machine learning/information theory/statistics) for assessing algorithm performance
- Vector embeddings of problem search space
- Meta-learning
- New advances in analysis and comparison of algorithms
- Operators influence on algorithm behavior
- Parameters influence on algorithm behavior
- Theoretical algorithm analysis



Credits and Sources

[1] SI-UNCAB 2020 : Natural Computing - Special Issue on Understanding Natural Computing Algorithm Behaviour


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