Permuted orthogonal block-diagonal transformation matrices for large scale optimization benchmarking. Inria, 2016. Preprint with appendix on https ,
URL : https://hal.archives-ouvertes.fr/hal-01308566
Comparing continuous optimizers, github repository. https://github, pp.2016-2017 ,
COCO: A platform for comparing continuous optimizers in a black-box setting. ArXiv e-prints, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01294124
Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in python. https://pypi.python.org/pypi/cma. Accessed, pp.2016-2017 ,
Real-Parameter Black-Box Optimization Benchmarking 2010: Experimental Setup, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00462481
Real-Parameter Black-Box Optimization Benchmarking 2009: Noiseless Functions Definitions, 2009. ,
URL : https://hal.archives-ouvertes.fr/inria-00362633
Completely Derandomized Self-Adaptation in Evolution Strategies, Evolutionary Computation, vol.9, issue.2, pp.159-195, 2001. ,
DOI : 10.1016/0004-3702(95)00124-7
Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization, Evolutionary Computation and Machine Learning Group, 2013. ,
Benchmark functions for the CEC 2008 special session and competition on large scale global optimization, Nature Inspired Computation and Applications Laboratory, pp.153-177, 2007. ,