makeSchafferN2Function: Modified Schaffer Function N. 2
In jakobbossek/smoof: Single and Multi-Objective Optimization Test Functions
View source: R/sof.schaffer.function.2.R
makeSchafferN2Function R Documentation
Modified Schaffer Function N. 2
Description
Second function by Schaffer. The definition is given by the formula
f(\mathbf{x}) = 0.5 + \frac{\sin^2(\mathbf{x}_1^2 - \mathbf{x}_2^2) - 0.5}{(1 + 0.001(\mathbf{x}_1^2 + \mathbf{x}_2^2))^2}
subject to \mathbf{x}_i \in [-100, 100], i = 1, 2.
Usage
makeSchafferN2Function()
Value
An object of class SingleObjectiveFunction, representing the Modified Schaffer N. 2 Function.
[smoof_single_objective_function]
References
S. K. Mishra, Some New Test Functions For Global Optimization
And Performance of Repulsive Particle Swarm Method.
jakobbossek/smoof documentation built on Feb. 17, 2024, 2:23 a.m.
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View source: R/sof.schaffer.function.2.R
| makeSchafferN2Function | R Documentation |
Modified Schaffer Function N. 2
Description
Second function by Schaffer. The definition is given by the formula
f(\mathbf{x}) = 0.5 + \frac{\sin^2(\mathbf{x}_1^2 - \mathbf{x}_2^2) - 0.5}{(1 + 0.001(\mathbf{x}_1^2 + \mathbf{x}_2^2))^2}
subject to \mathbf{x}_i \in [-100, 100], i = 1, 2.
Usage
makeSchafferN2Function()
Value
An object of class SingleObjectiveFunction, representing the Modified Schaffer N. 2 Function.
[smoof_single_objective_function]
References
S. K. Mishra, Some New Test Functions For Global Optimization And Performance of Repulsive Particle Swarm Method.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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