GECCO is the largest peer-reviewed conference in the field of Evolutionary Computation, and the main conference of the Special Interest Group on Genetic and Evolutionary Computation (SIGEVO) of the Association for Computing Machinery (ACM).
Biological evolution as a form of learning
Living organisms function according to protein circuits. Darwin's theory of evolution suggests that these circuits have evolved through variation guided by natural selection. However, it is currently unknown what variation mechanisms can give rise to ...
Evolutionary computation's niche for solving multi-criterion optimization problems
Evolutionary computation (EC) algorithms involve a careful collaborative and iterative update of a population of solutions to reach near a desired target. In a single-objective search and optimization problem, the respective optimal solution is often ...
Removing randomness from evolutionary algorithms
It is natural to think of Evolutionary Algorithms as highly stochastic search methods. This can also make Evolutionary Algorithms, and particularly recombination, quite difficult to analyze. One way to reduce randomness involves the quadratization of ...
Cited By
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Sun M, Jiang G, Zhang Y, Wu H and Li H (2024). Covariance matrix adaptation MAP-Elites for video game level generation International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 10.1117/12.3026544, 9781510677685, (106)
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Tissino J, Carullo G, Breschi M, Gamba R, Schmidt S and Bernuzzi S (2023). Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning, Physical Review D, 10.1103/PhysRevD.107.084037, 107:8
- Proceedings of the 2020 Genetic and Evolutionary Computation Conference
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
GECCO '17 | 462 | 178 | 39% |
GECCO '16 | 381 | 137 | 36% |
GECCO '16 Companion | 381 | 137 | 36% |
GECCO '15 | 505 | 182 | 36% |
GECCO '14 | 544 | 180 | 33% |
GECCO Comp '14 | 544 | 180 | 33% |
GECCO '13 | 570 | 204 | 36% |
GECCO '07 | 577 | 266 | 46% |
GECCO '06 | 446 | 205 | 46% |
Overall | 4,410 | 1,669 | 38% |