TAEA 2014 - Workshop on Theory and Applications of Evolutionary Algorithms (TAEA 2014)

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:
Theory:
? Design of new paradigm of evolutionary algorithms
? Runtime and convergence analysis
? Empirical or experimental study
? Linkage discovery
? Population dynamics
? Performance measure
? Hybrid method
Applications:
? Numerical/combinatorial optimization
? Multi-objective optimization
? Data mining/machine learning
? Scheduling/planning/routing
? Engineering design
? Computer networks
? Bioinformatics
? Creativity