The main goal of this chapter is to present an analysis of how self-adaptive control parameters are being changed during the current evolutionary process. We present a comparison of two distinct self-adaptive control parameters' mechanisms, both using Differential Evolution (DE). The first mechanism has recently been proposed in the jDE algorithm, which uses self-adaptation for F and CR control parameters. In the second one, we integrated the well known self-adaptive mechanism from Evolution Strategies (ES) into the original DE algorithm, also for the F and CR control parameters. Both mechanisms keep the third DE control parameter NP fixed during the optimization process. They both use the same DE strategy, same mutation, crossover, and selection operations, even the same initial population, and they both use self-adaptation at individual level. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Brest, J., Zamuda, A., Bošković, B., Greiner, S., & Žumer, V. (2008). An analysis of the control parameters’ adaptation in DE. Studies in Computational Intelligence, 143, 89–110. https://doi.org/10.1007/978-3-540-68830-3_3
Mendeley helps you to discover research relevant for your work.