BBOB & SBOX

Black-Box Optimization Benchmarking (BBOB) problem set, which contains 24 noiseless real-valued test functions supported on [-5, 5]^n, where n is the dimensionality.

These problems were orginally proposed by Hansen et. al. in [FinckHRA10] and was implemented as the core component of the COmparing Continous Optimizer (COCO) platform [HansenARMTB20].

We took the implementation of those 24 functions in https://github.com/numbbo/coco/tree/master/code-experiments/src (v2.2) and adopted those to our framework.

We have acknowledged and specified in our license file https://github.com/IOHprofiler/IOHexperimenter/blob/master/LICENSE.md the usage and modification to the COCO/BBOB sources.

Classes

AttractiveSector(self, instance, n_variables)
BBOB	Black-Box Optimization Benchmarking (BBOB) problem set.
BentCigar(self, instance, n_variables)
BuecheRastrigin(self, instance, n_variables)
DifferentPowers(self, instance, n_variables)
Discus(self, instance, n_variables)
Ellipsoid(self, instance, n_variables)
EllipsoidRotated(self, instance, n_variables)
Gallagher101(self, instance, n_variables)
Gallagher21(self, instance, n_variables)
GriewankRosenbrock(self, instance, n_variables)
Katsuura(self, instance, n_variables)
LinearSlope(self, instance, n_variables)
LunacekBiRastrigin(self, instance, n_variables)
Rastrigin(self, instance, n_variables)
RastriginRotated(self, instance, n_variables)
Rosenbrock(self, instance, n_variables)
RosenbrockRotated(self, instance, n_variables)
SBOX	Black-Box Optimization Benchmarking (BBOB) problem set.
Schaffers10(self, instance, n_variables)
Schaffers1000(self, instance, n_variables)
Schwefel(self, instance, n_variables)
SharpRidge(self, instance, n_variables)
Sphere(self, instance, n_variables)	Sphere function
StepEllipsoid(self, instance, n_variables)
Weierstrass(self, instance, n_variables)

Class Inheritance Diagram

Reference

[HansenARMTB20] Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann, Tea Tusar, and Dimo Brockhoff. “COCO: A platform for comparing continuous optimizers in a black-box setting.” Optimization Methods and Software (2020): 1-31.

[FinckHRA10] Steffen Finck, Nikolaus Hansen, Raymond Ros, and Anne Auger. “Real-parameter black-box optimization benchmarking 2009: Presentation of the noiseless functions.” Technical Report 2009/20, Research Center PPE, 2009. Updated February, 2010.