CMA-ES and advanced adaptation mechanisms

Author:

Akimoto Youhei1,Hansen Nikolaus2

Affiliation:

1. University of Tsukuba, Japan

2. Inria & Ecole Polytechnique, France

Publisher

ACM

Reference8 articles.

1. [ Hansen , 2008] Hansen, N. ( 2008 ). CMA-ES with two-point step-size adaptation. [research report] rr-6527 , 2008. Inria- 00276854v5. [Hansen, 2008] Hansen, N. (2008). CMA-ES with two-point step-size adaptation. [research report] rr-6527, 2008. Inria-00276854v5.

2. [Hansen et al. 2014] Hansen N. Atamna A. and Auger A. (2014). How to assess step-size adaptation mechanisms in randomised search. In Parallel Problem Solving from Nature-PPSN XIII pages 60--69. Springer. [Hansen et al. 2014] Hansen N. Atamna A. and Auger A. (2014). How to assess step-size adaptation mechanisms in randomised search. In Parallel Problem Solving from Nature-PPSN XIII pages 60--69. Springer.

3. [ Ait Elhara et al., 2013] Ait Elhara, O., Auger, A., and Hansen, N. (2013). A median success rule for non- elitist evolution strategies: Study of feasibility . In Proc. of the GECCO , pages 415 -- 422 . [Ait Elhara et al., 2013] Ait Elhara, O., Auger, A., and Hansen, N. (2013). A median success rule for non- elitist evolution strategies: Study of feasibility. In Proc. of the GECCO, pages 415--422.

4. [ Loshchilov , 2014 ] Loshchilov, I. (2014). A computationally efficient limited memory cma-es for large scale optimization . In Proc. of the GECCO , pages 397 -- 404 . [Loshchilov, 2014] Loshchilov, I. (2014). A computationally efficient limited memory cma-es for large scale optimization. In Proc. of the GECCO, pages 397--404.

5. A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity

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