Package org.moeaframework.problem.BBOB2016

package org.moeaframework.problem.BBOB2016

Package containing the BBOB 2016 bi-objective test problems. These problems will be tested in the Workshop on Real-Parameter Black-Box Optimization Benchmarking at GECCO 2016. The authors combine various single-objective functions to form the bi-objective test suite. Each of the single-objective functions has well-known problem properties, including looking at the conditioning number. Conditioning looks at the effect of small changes to the function's inputs on its output. For example, small changes to a low conditioned function causes only small changes in the output.

Note: this implementation does not provide all BBOB test functions. It currently only implements the 55 test functions studied in the bbob-biobj suite.

References:

1. Coco Github page
2. Finck, S., N. Hansen, R. Ros, and A. Auger. "Real-Parameter Black-Box Optimization Benchmarking 2010: Presentation of the Noiseless Functions." Working Paper 2009/20, compiled November 17, 2015. (PDF)
3. http://numbbo.github.io/coco-doc/bbob-biobj/functions/
4. https://arxiv.org/abs/1604.00359

Related Packages

Package	Description
org.moeaframework.problem	Package containing standardized problems and utility classes for working with problems.

Classes

Class	Description
AttractiveSector	The Attractive Sector function.
BBOB2016Problems	Problem provider for all problems in the BBOB 2016 test suite.
BBOBFunction	Abstract class for the functions provided by the BBOB test suite.
BBOBTransformation	Abstract class for transformations provided by the BBOB test suite.
DifferentPowers	The Different Powers function.
Ellipsoid	The Ellipsoid function.
Gallagher	The 101-peak Gallagher function.
Rastrigin	The Rastrigin function.
Rosenbrock	The Rosenbrock function.
Schaffers	The Schaffers F7 function.
Schwefel	The Schwefel function.
SharpRidge	The Sharp Ridge function.
Sphere	The sphere function.
StackedProblem	Combines two or more single-objective BBOBFunctions into a multiobjective problem.
TransformObjectiveOscillate	Transformation that oscillates the objective values of the inner function.
TransformObjectivePenalize	Transformation that penalizes the objectives if the decision variables fall outside the region of interest.
TransformObjectivePower	Transformation that raises the objective value to the power of a given exponent.
TransformObjectiveShift	Transformation that offsets the value of the objective by a fixed amount.
TransformVariablesAffine	Performs an affine transformation of the form f(x) = Mx + b.
TransformVariablesAsymmetric	Transformation used to convert a symmetric to an asymmetric decision space.
TransformVariablesBrs	Transformation that skews or scales the decision variables using the same method described by the Buche-Rastrigin function.
TransformVariablesConditioning	Transformation that alters the condition number of the function.
TransformVariablesOscillate	Transformation that applies a monotone oscillation to the decision variables of the inner function.
TransformVariablesScale	Transformation that scales the decision variables by a given factor.
TransformVariablesShift	Transformation that shifts all decision variables by a given offset.
TransformVariablesXHat	The x-hat transformation, which negates some of the decision variables.
TransformVariablesZHat	The z-hat transformation used by the Schwefel function.