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SOCS 2018 : Symposium on Combinatorial Search

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Conference Series : Symposium on Combinatorial Search
 
Link: https://sites.google.com/view/socs18/
 
When Jul 14, 2018 - Jul 15, 2018
Where Stockholm
Abstract Registration Due Apr 29, 2018
Submission Deadline May 1, 2018
Notification Due Jun 1, 2018
Categories    heuristic search   artificial intelligence   constraint programming   operations research
 

Call For Papers

Heuristic search and other forms of combinatorial search are active areas of research in artificial intelligence, planning, robotics, constraint programming, operations research, bioinformatics, and other areas of computer science. SoCS is meant to bring researchers from these areas together to exchange their ideas and cross-fertilize the field.

Topics of interest include but are not limited to the following:

Analysis of search algorithms
Automated synthesis of lower bounds
Automatic algorithm selection and parameter tuning
Bounding and pruning techniques
Combinatorial puzzles
Continuous problem solving
External-memory and parallel search
Incremental and active learning in search
Meta-reasoning and search
Methodology and critiques of current practice
Model-based search
Random versus systematic search strategy selection
Portfolios of search algorithms
Real-time search
Search in goal-directed problem solving
Search space discretization for continuous state-space problems
Self-configuring and self-tuning algorithms
Symmetry handling
Time, memory, and solution quality trade-offs
Search in big data
Constraint search
Search in robotics
Search-based diagnosis
Real-life applications

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WI 2018   2018 IEEE/WIC/ACM International Conference on Web Intelligence
12th IEEE MCSOC 2018   IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2018)
ICTAI 2018   International Conference on Tools with Artificial Intelligence
COCOA 2018   The 12th Annual International Conference on Combinatorial Optimization and Applications
IEEE Big Data 2018   2018 IEEE International Conference on Big Data
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