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- W1606259112 abstract "Biological evidence strongly suggests that insects utilize visual cues for their navigation tasks. This paper discusses the evolution of a simple controller for visual homing by means of evolutionary algorithms. The application is representative for a class of (real world) problems, for which the choice of the fitness function is non-trivial, since the data are not known in advance. For this class of problems, recombination has a much higher influence on the convergence than previously assumed. We show how convergence rates comparable to those of neural network learning algorithms can be achieved." @default.
- W1606259112 created "2016-06-24" @default.
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- W1606259112 date "2003-06-25" @default.
- W1606259112 modified "2023-09-25" @default.
- W1606259112 title "Evolving neural controllers for visual navigation" @default.
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- W1606259112 doi "https://doi.org/10.1109/cec.2002.1007006" @default.
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