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LION 2021 : Learning and Intelligent Optimization

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Conference Series : Learning and Intelligent Optimization
 
Link: https://lion15.sba-research.org/
 
When Jun 20, 2021 - Jun 25, 2021
Where Athens, Greece
Submission Deadline Mar 15, 2021
Notification Due May 1, 2021
Final Version Due May 15, 2021
Categories    learning   artificial intelligence   optimization
 

Call For Papers

Call for Papers
Paper Format
Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF.
Types of Submissions
When submitting a paper to LION15, authors are required to select one of the following three types of papers:

Long paper: original novel and unpublished work (max. 15 pages in LNCS format);
Short paper: an extended abstract of novel work (max. 6 pages in LNCS format);
Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference.

Topics of Interest
LION15 welcomes high quality submissions on the broad topics of machine learning, artificial intelligence, energy, mathematical programming, optimization (models, algorithms and applications) and heuristics. Additionally, more specialized, submission topics for long and short papers may include, but are not limited to:

automatic solver configuration
parallel methods for search and optimization
hard combinatorial optimization problems
intelligent optimization in health, e-health, bioinformatics and neurosciences
machine learning and optimization methods in tourism and hospitality
nature-inspired algorithCall for Papers
Paper Format
Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF.
Types of Submissions
When submitting a paper to LION15, authors are required to select one of the following three types of papers:

Long paper: original novel and unpublished work (max. 15 pages in LNCS format);
Short paper: an extended abstract of novel work (max. 6 pages in LNCS format);
Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference.

Topics of Interest
LION15 welcomes high quality submissions on the broad topics of machine learning, artificial intelligence, energy, mathematical programming, optimization (models, algorithms and applications) and heuristics. Additionally, more specialized, submission topics for long and short papers may include, but are not limited to:

automatic solver configuration
parallel methods for search and optimization
hard combinatorial optimization problems
intelligent optimization in health, e-health, bioinformatics and neurosciences
machine learning and optimization methods in tourism and hospitality
nature-inspired algorithms for combinatorial optimization problems
hard combinatorial optimization problems in combinatorics, computational geometry and machine learning
DC (difference of convex functions) learning: theory, algorithms and applications
computational intelligence for smart cities
computational intelligence for autonomous driving
optimization and management in smart manufacturing
algorithms and applied optimization for environmental data science
machine learning and robust optimization techniques in finance applications
machine learning and optimization methods in software engineering
ms for combinatorial optimization problems
hard combinatorial optimization problems in combinatorics, computational geometry and machine learning
DC (difference of convex functions) learning: theory, algorithms and applications
computational intelligence for smart cities
computational intelligence for autonomous driving
optimization and management in smart manufacturing
algorithms and applied optimization for environmental data science
machine learning and robust optimization techniques in finance applications
machine learning and optimization methods in software engineering

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