@inproceedings{ba5f19e66fe14d60833e32474678a56f,
title = "Covariance-matrix adaptive method for approximate time-optimal reorientation maneuvers",
abstract = "The Covariance Matrix Adaptive-Evolutionary Strategy (CMA-ES) method provides a high quality estimate of the control solution for a satellite reorientation problem that includes multiple path constraints. The CMA-ES algorithm offers two significant advantages over heuristic methods such as Particle Swarm or Bacteria Foraging Optimization: it builds an approximation to the covariance matrix of the cost function, and uses that to determine a direction of maximum likelihood for the search, reducing the chance of stagnation; and it achieves second-order, quasi-Newton convergence behavior.",
author = "Melton, {Robert G.}",
year = "2014",
language = "English (US)",
isbn = "9780877036050",
series = "Advances in the Astronautical Sciences",
publisher = "Univelt Inc.",
pages = "2765--2776",
booktitle = "Astrodynamics 2013 - Advances in the Astronautical Sciences",
address = "United States",
note = "2013 AAS/AIAA Astrodynamics Specialist Conference, Astrodynamics 2013 ; Conference date: 11-08-2013 Through 15-08-2013",
}