Self-adaptation in evolutionary algorithms

S Meyer-Nieberg, HG Beyer - Parameter setting in evolutionary algorithms, 2007 - Springer
… Afterwards, we will review empirical and theoretical research of self-adaptation methods
applied in genetic algorithms, evolutionary programming, and evolution strategies. …

Self-adaptation in genetic algorithms

T Bäck - Proceedings of the first european conference on …, 1992 - books.google.com
Within Genetic Algorithms (GAS) the mutation rate is mostly handled as a global, external
parameter, which is constant over time or exogeneously changed over time. In this paper a …

An overview of parameter control methods by self-adaptation in evolutionary algorithms

T Bäck - Fundamenta informaticae, 1998 - content.iospress.com
… The principle of self-adaptation in evolutionary algorithms is an important mechanism for …
of such algorithms by evolving parameter values in analogy with the usual evolution of object …

A comparison of methods for self-adaptation in evolutionary algorithms

N Saravanan, DB Fogel, KM Nelson - BioSystems, 1995 - Elsevier
algorithms generally operate directly on the real values to be optimized, in contrast with
genetic algorithmsEvolutionary algorithms often rely on a second-level optimization of strategy …

Self-adaptation in evolutionary algorithms for combinatorial optimisation

JE Smith - Adaptive and multilevel metaheuristics, 2008 - Springer
… by the same forces of evolution. Many successful applications … We describe how self-adaptation
may be use to control not … hybrid evolutionary algorithms (so-called memetic algorithms). …

[PDF][PDF] Self adaptation in evolutionary algorithms

JE Smith - 1998 - Citeseer
… Typically these algorithms maintain a population of individual solutions, each of which has a
genetic operators. In this thesis the phenomenon of Self Adaptation of the genetic operators …

A comparison study of self-adaptation in evolution strategies and real-coded genetic algorithms

H Kita - Evolutionary Computation, 2001 - ieeexplore.ieee.org
… -adaptive mechanisms of evolution strategies (ES) and real-coded genetic algorithms (RCGA)
for optimization in continuous search spaces. For multi-membered evolution strategies, a …

Evolutionary self-adaptation: a survey of operators and strategy parameters

O Kramer - Evolutionary Intelligence, 2010 - Springer
… parameter setting techniques in the field of evolutionary algorithms. From this broader point
of view we are able to integrate self-adaptation into a taxonomy of parameter setting methods…

Completely derandomized self-adaptation in evolution strategies

N Hansen, A Ostermeier - Evolutionary computation, 2001 - ieeexplore.ieee.org
… This paper puts forward two useful methods for self-adaptation … Basic demands on the
self-adaptation of arbitrary (normal) … , a completely derandomized self-adaptation scheme results, …

A derandomized approach to self-adaptation of evolution strategies

A Ostermeier, A Gawelczyk, N Hansen - Evolutionary Computation, 1994 - direct.mit.edu
… Apart from a fixed setting, ESs facilitate an adjustment of such parameters within a self-adaptation
process. For step-size control in particular, various adaptation concepts have been …