Evolution strategy

Evolution strategy (ES) from computer science is a subclass of evolutionary algorithms, which serves as an optimization technique.[1] It uses the major genetic operators mutation, recombination and selection of parents.[2]

  1. ^ Slowik, Adam; Kwasnicka, Halina (1 August 2020). "Evolutionary algorithms and their applications to engineering problems". Neural Computing and Applications. 32 (16): 12363–12379. doi:10.1007/s00521-020-04832-8. ISSN 1433-3058.
  2. ^ Alrashdi, Zaid; Sayyafzadeh, Mohammad (1 June 2019). "(μ+λ) Evolution strategy algorithm in well placement, trajectory, control and joint optimisation". Journal of Petroleum Science and Engineering. 177: 1042–1058. Bibcode:2019JPSE..177.1042A. doi:10.1016/j.petrol.2019.02.047. ISSN 0920-4105.

© MMXXIII Rich X Search. We shall prevail. All rights reserved. Rich X Search