Symposium on Experimental Algorithms (SEA) 2024

Event Dates

Jul 23, 2024 - Jul 26, 2024

Location

Vienna

Submission Deadline

Feb 10, 2024

We are announcing a deadline extension for SEA24.

The full paper must be submitted by February 10, 2024 (AoE)

The authors will be notified by March 27, 2024

Final version due: April 28, 2024

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Call for Papers

SEA aims to attract papers from the Computer Science community, the Operations Research/Mathematical Programming community and any other scientific community that is concerned with the main theme of the symposium, namely the role of experimentation and of algorithm engineering techniques in the design and evaluation of algorithms and data structures.

Submissions should present significant contributions supported by experimental evaluation, methodological issues in the design and interpretation of experiments, the use of (meta-)heuristics, or application-driven case studies that deepen the understanding of the complexity of a problem.

Topics of Interest

Contributions solicited cover a variety of topics including but not limited to:

Algorithm Engineering

Algorithmic Libraries and Software Repositories

Algorithmic Cryptography and Security

Algorithmic Natural Language Processing

Algorithmics for Databases

Analysis of Algorithms

Approximation Algorithms

Bioinformatics and Computational Biology

Branch-and-Bound Algorithms

Combinatorial Problems and Structures

Communication Networks

Computational Geometry

Computational Optimization

Data Structures

Distributed and Parallel Algorithms

Graph Algorithms

Heuristic Algorithms

Integer Programming

Logistics and Operations Management

Machine Learning and Data Mining

Mathematical Programming

Multiple Criteria Decision Making

Network Analysis

Online Problems

Randomized Algorithms

Semidefinite Programming

Streaming and External Memory Algorithms

We emphasize that SEA welcomes submissions that introduce novel applications of algorithms in other disciplines. Note that the SEA list of topics was updated with respect to past years.