makeBrownFunction: Brown Function
In smoof: Single and Multi-Objective Optimization Test Functions
makeBrownFunction R Documentation
Brown Function
Description
This function belongs the the unimodal single-objective test functions. The
function is forumlated as
f(\mathbf{x}) = \sum_{i = 1}^{n} (\mathbf{x}_i^2)^{(\mathbf{x}_{i + 1} + 1)} + (\mathbf{x}_{i + 1})^{(\mathbf{x}_i + 1)}
subject to \mathbf{x}_i \in [-1, 4] for i = 1, \ldots, n.
Usage
makeBrownFunction(dimensions)
Arguments
dimensions
[integer(1)]
Size of corresponding parameter space.
Value
[smoof_single_objective_function]
References
O. Begambre, J. E. Laier, A hybrid Particle Swarm Optimization -
Simplex Algorithm (PSOS) for Structural Damage Identification, Journal of
Advances in Engineering Software, vol. 40, no. 9, pp. 883-891, 2009.
smoof documentation built on March 31, 2023, 11:48 p.m.
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| makeBrownFunction | R Documentation |
Brown Function
Description
This function belongs the the unimodal single-objective test functions. The function is forumlated as
f(\mathbf{x}) = \sum_{i = 1}^{n} (\mathbf{x}_i^2)^{(\mathbf{x}_{i + 1} + 1)} + (\mathbf{x}_{i + 1})^{(\mathbf{x}_i + 1)}
subject to \mathbf{x}_i \in [-1, 4] for i = 1, \ldots, n.
Usage
makeBrownFunction(dimensions)
Arguments
dimensions |
[ |
Value
[smoof_single_objective_function]
References
O. Begambre, J. E. Laier, A hybrid Particle Swarm Optimization - Simplex Algorithm (PSOS) for Structural Damage Identification, Journal of Advances in Engineering Software, vol. 40, no. 9, pp. 883-891, 2009.
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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