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LOMC 2015 : IJCNN 2015 Special Session on Learning and optimization in multi-criteria, dynamic and uncertain environments


When Jul 12, 2015 - Jul 17, 2015
Where Ireland
Submission Deadline Jan 15, 2015
Notification Due Mar 15, 2015
Final Version Due Apr 15, 2015
Categories    machine learning   optimization   AI   reinforcement learning

Call For Papers

Call for Papers

IJCNN 2015 Special Session on
"Learning and optimization in multi-criteria,
dynamic and uncertain environments"
July 12 - 17, 2015, Killarney, Ireland.

Paper submission: January 15, 2015
Paper Decision notification: March 15, 2015
Camera-ready submission: April 15, 2015
Conference: July 12-17, 2015

Many applications in the field of engineering, aim to simultaneously satisfy multiple criteria using a number of constraints or preferences. Real-world environments also often inherently have different criteria (or objectives) that can be aligned as well as conflicting, resulting in complex Pareto fronts. Moreover, in many cases the state of these systems changes over time, resulting in a dynamic environment for the learner. To efficiently explore these complex Parteo fronts, new exploration/exploitation techniques are needed.

Inspiration for such techniques can be found in multi-objective optimization. The task of an optimization algorithm in a multi-criteria environment is either to learn a strategy that optimizes all criteria at the same time or to find a good compromise solution. Thus, learning in the multi-criteria framework can be considerable harder than in the standard single objective framework.

The main goal of this special session is to help of unify and streamline research on learning in dynamic and uncertain multi-criteria environments. We want to bring together researchers from machine learning, optimization and artificial intelligence, interested multi-criteria decision making and/or multi-objective optimization in dynamic and uncertain environments. We also encourage submissions related to multi-criteria decision making and/or multi-objective optimization in other areas such as operation research, games and real-world applications.

Multi-objective reinforcement learning
Multi-objective optimization algorithms (meta-heuristics, evolutionary algorithms, etc.) for dynamic and uncertain environments
Theoretical results on the learnability in multi-objective dynamic and uncertain environments
Novel algorithmic frameworks for multi-objective environments
Multi-criteria aspects of robotics
Multi-objective self-adapting systems
Multi-objective automatic configuration systems
Multi-objective games
Multi-criteria decision making in dynamic and uncertain environments
Real-world applications in engineering, business, computer science, biological sciences, scientific computation, etc.
in Dynamic and Uncertain Environments
Multi-criteria dynamic/reactive scheduling and planning

Authors are invited to submit their papers through the main IJCNN 2015
conference submission system at:

Please make sure to select the Special Session under "S. SPECIAL SESSION TOPICS"
in the "Main Research topic" drop-down list. Templates and detailed instructions
for authors can be found at

All papers submitted to the special session will be subject to the
same peer-review procedure as regular papers. Accepted papers will be
published in the conference proceedings.

Madalina M. Drugan, Peter Vrancx, Ann Nowe
Artificial Intelligence Lab,
Vrije Universiteit Brussels, Belgium

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