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GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference
ACM2020 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
GECCO '20: Genetic and Evolutionary Computation Conference Cancún Mexico July 8 - 12, 2020
ISBN:
978-1-4503-7128-5
Published:
26 June 2020
Sponsors:
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Abstract

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).

abstract
Public Access
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 ...

abstract
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 ...

abstract
Public Access
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 ...

Contributors
  • Center for Research and Advanced Studies of the National Polytechnic Institute
  1. Proceedings of the 2020 Genetic and Evolutionary Computation Conference

    Recommendations

    Acceptance Rates

    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%
    YearSubmittedAcceptedRate
    GECCO '1746217839%
    GECCO '1638113736%
    GECCO '16 Companion38113736%
    GECCO '1550518236%
    GECCO '1454418033%
    GECCO Comp '1454418033%
    GECCO '1357020436%
    GECCO '0757726646%
    GECCO '0644620546%
    Overall4,4101,66938%