makeDoubleSumFunction

Also known as the rotated hyper-ellipsoid function. The formula is given by
$$f(\mathbf{x}) = \sum_{i=1}^n \left( \sum_{j=1}^{i} \mathbf{x}_j \right)^2$$
with $\mathbf{x}_i \in [-65.536, 65.536], i = 1, \ldots, n$.

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

makeDoubleSumFunction function

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

Arguments

Double-Sum Function — makeDoubleSumFunction

<dl>

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

</dl>

makeDoubleSumFunction: Double-Sum Function

Description

Usage

Value

Arguments

References