The Genetic and Evolutionary Computation Conference (GECCO) presents the latest high-quality results in genetic and evolutionary computation since 1999. Topics include: genetic algorithms, genetic programming, swarm intelligence, complex systems, evolutionary combinatorial optimization and metaheuristics, evolutionary machine learning, learning for evolutionary computation, evolutionary multiobjective optimization, evolutionary numerical optimization, neuroevolution, real world applications, search-based software engineering, theory, benchmarking, reproducibility, hybrids and more.

Tracks

BBSR - Benchmarking, Benchmarks, Software, and Reproducibility
CS - Complex Systems 	
ECOM - Evolutionary Combinatorial Optimization and Metaheuristics 	
EML - Evolutionary Machine Learning 
EMO - Evolutionary Multiobjective Optimization
ENUM - Evolutionary Numerical Optimization 
GA - Genetic Algorithms
GECH - General Evolutionary Computation and Hybrids 
GP - Genetic Programming 
L4EC - Learning for Evolutionary Computation
NE - Neuroevolution
RWA - Real World Applications 
SI – Swarm Intelligence
THEORY - Theory