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Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed

Anne Auger
2009 Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference - GECCO '09  
In this paper, we benchmark the (1+1) Evolution Strategy (ES) with one-fifth success rule which is one of the first and simplest adaptive search algorithms proposed for optimization.  ...  The benchmarking is conducted on the noise-free BBOB-2009 testbed.  ...  Acknowledgments The author would like to acknowledge Nikolaus Hansen, Steffen Finck, Raymond Ros for their great and hard work on the BBOB project, Nikolaus Hansen and Marc Schoenauer for their kind and  ... 
doi:10.1145/1570256.1570342 dblp:conf/gecco/Auger09 fatcat:yfwopqq7hzc3fawoihz7tceqfy

Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed

Anne Auger, Nikolaus Hansen
2009 Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference - GECCO '09  
In this paper, an independent restart version of the (1+1)-CMA-ES is implemented and benchmarked on the BBOB-2009 noise-free testbed.  ...  The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions defined on a continuous search space in a black-box scenario.  ...  for his comments on the paper.  ... 
doi:10.1145/1570256.1570344 dblp:conf/gecco/AugerH09 fatcat:rxldbx4asnfonldb36bn4b76eq

Adaptive coordinate descent

Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2011 Proceedings of the 13th annual conference on Genetic and evolutionary computation - GECCO '11  
The resulting algorithm, termed Adaptive Coordinate Descent (ACiD), is analyzed on the Sphere function, and experimentally validated on BBOB testbench where it is shown to outperform the standard (1 +  ...  Independence from the coordinate system is one source of efficiency and robustness for the Covariance Matrix Adaptation Evolution Strategy (CMA-ES).  ...  EXPERIMENTAL VALIDATION Adaptive Coordinate Descent has been benchmarked on the noiseless Black-Box Optimization Benchmarking (BBOB) testbed [5] .  ... 
doi:10.1145/2001576.2001697 dblp:conf/gecco/LoshchilovSS11 fatcat:z62iepjaf5bdjlj7ctetfhf5ce

TREGO: a Trust-Region Framework for Efficient Global Optimization [article]

Youssef Diouane and Victor Picheny and Rodolphe Le Riche and Alexandre Scotto Di Perrotolo
2022 arXiv   pre-print
consistently outperforming EGO and getting competitive with other state-of-the-art black-box optimization methods.  ...  Using extensive numerical experiments based on the well-known COCO bound constrained problems, we first analyze the sensitivity of TREGO to its own parameters, then show that the resulting algorithm is  ...  algorithm of the BBOB 2009 [29] .  ... 
arXiv:2101.06808v4 fatcat:dsbvvgsqhrb7bg5eqawmu6xpbu

Population-based heuristic algorithms for continuous and mixed discrete-continuous optimization problems

Tianjun Liao
2015 4OR  
for continuous and mixed discrete-continuous optimization problems, (ii) we improve upon a specific state-of-the-art evolution strategy, the covariance matrix adaptation evolution strategy (CMA-ES), and  ...  We tackle continuous and mixed discrete-continuous optimization problems with two classes of population-based heuristic algorithms, ant colony optimization (ACO) algorithms and evolution strategies.  ...  ., 2009 . IPOP-CMA-ES embeds CMA-ES into a restart mechanism that increases the population size between successive runs of CMA-ES.  ... 
doi:10.1007/s10288-015-0285-8 fatcat:fbdeu2lx4ngghdyqenamhfckry