makeRosenbrockFunction

Also known as the &#8220;De Jong's function 2&#8221; or the &#8220;(Rosenbrock)
banana/valley function&#8221; due to its shape. The global optimum is located within
a large flat valley and thus it is hard for optimization algorithms to find it.
The following formula underlies the implementation:
$$f(\mathbf{x}) = \sum_{i=1}^{n-1} 100 \cdot (\mathbf{x}_{i+1} - \mathbf{x}_i^2)^2 + (1 - \mathbf{x}_i)^2.$$
The domain is given by the constraints $\mathbf{x}_i \in [-30, 30], i = 1, \ldots, n$.

Provides generators for a high number of both single- and multi-
objective test functions which are frequently used for the benchmarking of
(numerical) optimization algorithms. Moreover, it offers a set of convenient
functions to generate, plot and work with objective functions.

Jakob Bossek

smoof

Single and Multi-Objective Optimization Test Functions

Pascal Kerschke

makeRosenbrockFunction function

<dl><dt>dimensions</dt>
<dd>[<code>integer(1)</code>] 
Size of corresponding parameter space.</dd></dl>

Arguments

Rosenbrock Function — makeRosenbrockFunction

<dl>

<dt>dimensions</dt>
<dd>[<code>integer(1)</code>] 
Size of corresponding parameter space.</dd>

</dl>

makeRosenbrockFunction: Rosenbrock Function

Description

Usage

Value

Arguments

References