SRCS (version 1.0)

MPBall: Performance of 3 different dynamic optimization algorithms on the Moving Peaks Benchmark captured at five time moments of the execution (see references)

Description

Dataset with the performance of several dynamic optimization algorithms in the Moving Peaks Benchmark problem (see the source section) at five time moments, just before a change. 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, averaged from the beginning up to each time moment. This dataset serves for illustrating how to compose a video sequence using function animatedplot.

Usage

data(MPBall)

source

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.

Examples

data(MPBall)
str(MPBall)
head(MPBall)