Christopher Ronnewinkel

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We present a multipopulation concept that detaches global from local search. A search population constantly searches for new regions of high fitness, whereas colonies track already found fitness peaks. The colonies interact via a parameterless speciation criterion. In a performance test on multiple stochastically moving fitness peaks on the hypercube, we(More)
The influence of time-dependent fitnesses on the infinite population dynamics of simple genetic algorithms (without crossover) is analyzed. Based on general arguments, a schematic phase diagram is constructed that allows one to characterize the asymptotic states in dependence on the mutation rate and the time scale of changes. Furthermore, the notion of(More)
We study self-replicating molecules under externally varying conditions. Changing conditions such as temperature variations and/or alterations in the environment’s resource composition lead to both non-constant replication and decay rates of the molecules. In general, therefore, molecular evolution takes place in a dynamic rather than a static fitness(More)
We study the evolution of asexual microorganisms with small mutation rate in fluctuating environments, and develop techniques that allow us to expand the formal solution of the evolution equations to first order in the mutation rate. Our method can be applied to both discrete time and continuous time systems. While the behavior of continuous time systems is(More)
The quasispecies theory is studied for dynamic replication landscapes. A meaningful asymptotic quasispecies is defined for periodic time dependencies. The quasispecies’ composition is constantly changing over the oscillation period. The error threshold moves towards the position of the time averaged landscape for high oscillation frequencies and follows the(More)
During the last ten years computers have become fast enough to support evolutionary algorithms and a lot of applications to real-world problems have been developed. This has led to a great deal of empirical knowledge on the behavior of evolutionary algorithms and to many heuristics for choosing their associated parameters. There is also a developing theory(More)
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