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TAEA 2013 : International Workshop on Theory and Applications of Evolutionary Algorithms


When Dec 6, 2013 - Dec 8, 2013
Where Taipei, Taiwan
Submission Deadline Aug 30, 2013
Notification Due Sep 22, 2013
Final Version Due Sep 29, 2013
Categories    artificial intelligence   evolutionary algorithms   genetic algorithms

Call For Papers

[Submissions aiming at IEEE CPS publication must follow the new deadline (30 August) strictly. Others may follow the timelines for the domestic track in TAAI 2013 (]

Evolutionary Algorithms are global search algorithms that mimic natural evolution such as selection, crossover, and mutation. Their effectiveness has been widely proved on various search and optimization problems. This workshop will focus on the theory and applications of evolutionary algorithms, e.g., genetic algorithms, evolution strategies, genetic programming, particle swarm optimization, ant colony optimization, artificial immune systems, estimation of distribution algorithms, differential evolution, and memetic algorithms.

The aim of this workshop is to bring together researchers to present and exchange ideas, results and experiences in the area of evolutionary computation. Topics of interest include, but are not limited to:

Design of new paradigm of evolutionary algorithms
Runtime and convergence analysis
Empirical or experimental study
Linkage discovery
Population dynamics
Performance measure
Hybrid method

Numerical/combinatorial optimization
Multi-objective optimization
Data mining
Machine learning
Engineering design
Computer networks


TAEA2013 includes both international and domestic tracks. Full paper manuscripts for international track should be in English and for domestic track is in Chinese with IEEE two-column format (max 6 pages). Please indicate [TAEA2013] while submitting via


All accepted papers will be published in the proceedings. Outstanding papers will be selected and recommended to submit their extensions to JISE journal (SCIE-indexed). The papers of international track will be published by CPS and submitted to IEEE Xplore and IEEE Computer Science Digital Library.

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