Adaption to a Changing Environment by Means of the Thermodynamical Genetic Algorithm
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Evolutionary algorithm with forced variation in multi-dimensional non-stationary environment
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
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In recent years the problem of adaptation in time-varying landscapes has been intensively studied by many groups of researches. The number of publications successively grows. This domain of research is important for many technical branches, e.g. the optimal control, the learning process of neural networks, the fault detection in dynamic systems. In this work some taxonomy of non-stationary environments as well as behavior of a simple evolutionary process in such landscapes are presented and illustrated.