Dataset with the performance of several dynamic optimization algorithms in the Moving Peaks Benchmark problem (see the source section).
The MPB function can be configured according to some parameters such as the dimension, the change frequency and the severity of changes.
The performance measure employed is the average offline error.

datasets

Implementation of the SRCS method for a color-based visualization of the
    results of multiple pairwise tests on a large number of problem configurations, proposed in: 
    I.G. del Amo, D.A. Pelta. SRCS: a technique for comparing multiple algorithms under several
    factors in dynamic optimization problems. In: E. Alba, A. Nakib, P. Siarry
    (Eds.), Metaheuristics for Dynamic Optimization. Series: Studies in
    Computational Intelligence 433, Springer, Berlin/Heidelberg, 2012.

Pablo Villacorta

SRCS

Statistical Ranking Color Scheme for Multiple Pairwise
        Comparisons

MPB function

I.G. del Amo, D.A. Pelta. SRCS: a technique for comparing multiple algorithms under several factors in dynamic optimization problems, in: 
E. Alba, A. Nakib, P. Siarry (Eds.), Metaheuristics for Dynamic Optimization. Series: Studies in Computational Intelligence 433, Springer, Berlin/Heidelberg, 2012.

MPB: Performance of 8 different dynamic optimization algorithms on the Moving Peaks Benchmark (see references)

Description

Usage

Arguments

source

Examples